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A Strategic Partnership Between Classiq and QUCAN to Provide Practical Training to Address the Global Quantum Talent Shortage

Classiq, the leader in quantum software, partnered with QUCAN, a global pioneer in professional quantum education, to advance quantum computing commercialisation. This collaboration provides a practical, industry-relevant training curriculum to empower the next generation of quantum workers by turning complicated theoretical knowledge into useful capabilities.

Today, QUCAN and Classiq, a leading quantum software provider, introduced QC101, an introductory quantum computing course. The alliance intends to provide prospective quantum experts practical, real-world skills as the industry's need for quantum expertise rises fast.

Important Collaboration Elements

Program: QC101 is a two-month online introductory course. There are weekly live lectures and labs and self-paced study choices.

Practical Skills: The curriculum emphasises practical skills with real quantum instruments to bridge the gap between study and industry application.

As a partner, Classiq gives QC101 participants full access to its next-generation platform and live, interactive laboratories. Classiq, an enterprise-grade solution, automates the conversion of high-level models into optimised quantum circuits, making quantum computer development easier.

Closing the Talent Gap: Classiq CEO and co-founder Nir Minerbi remarked, "We're collectively addressing this critical need for academic learning and workforce development to meet the growing demand for quantum talent."

Certification and Network: Upon completion of the program, which leads to an industry-recognized certification, participants can connect with a global network of alumni and specialists via QUCAN's Q-Network.

Overcoming the Academic-Industry Divide

A pervasive and persistent problem in the field of quantum computing is the collaboration's immediate solution: a significant shortage of professionals capable of converting quantum algorithms from theoretical concepts to real-world execution on quantum processing units (QPUs). Despite remarkable technical advances, global demand for quantum scientists, engineers, and developers exceeds supply. This mismatch may slow the sector's economic sustainability.

Established universities offer good quantum physics and theoretical computer science programs. However, they frequently fall short in preparing students for the nuances of industrial application, such as optimising resources, avoiding circuit noise, and programming without regard to hardware. The goal of Classiq and QUCAN's collaboration is to close this precise gap.

QUCAN is well-known for offering demanding, career-focused training, and its main audience consists of students and professionals wishing to enter the quantum field. The QC101 program intentionally uses Classiq's platform to move its focus from the low-level, time-consuming process of maintaining individual quantum gates to the high-level, practical application of quantum modelling.

Automated Synthesis and Hybrid Learning in the QC101 Synergy In their capacity as a partner, Classiq will give participants direct access to their cutting-edge quantum software platform and various live, interactive laboratories. The Classiq platform, which transforms high-level models into optimised circuits, enables users to design, prototype, and execute quantum algorithms at scale.

The unique features of QC101 include its self-paced learning modules, weekly live lectures, and interactive laboratories. This structure makes it easier for working people to manage their employment with acquiring new, in-demand skills. The program includes instruction on basic quantum concepts, popular algorithms such as Grover's and Shor's, and most importantly how to effectively implement these algorithms on real quantum hardware. Upon completion, students receive an acknowledged certification attesting to their ability to create practical, full-stack quantum algorithms.

For the experiential portion of the training, the incorporation of the Classiq platform is revolutionary. The process by which developers laboriously translate intricate algorithmic ideas into lengthy sequences of low-level quantum gates in traditional quantum programming is known as circuit compilation. Due to its high error rate and time-consuming nature, this manual labour soon becomes impractical when algorithms are scaled up. Thanks to Classiq's innovative technology, this synthesis may be fully automated.

High-level programming models are used to specify the desired quantum function by participants in QC101. After that, the platform automatically generates, optimises, and implements the most efficient quantum circuit, specifically tailored to the target QPU's specifications. Traditional quantum software development kits (SDKs) are not as effective as the partnership's technological foundation. For example, instead of writing hundreds of gates by hand for a quantum chemistry simulation, a developer can tell Classiq the molecule's Hamiltonian and the necessary simulation parameters, and Classiq will automatically build the most optimised circuit needed for that computation.

Because quantum programming has shifted its focus, students may now comprehend the principles of creating quantum algorithms without being immediately limited by gate-level coding complexity or hardware-specific restrictions. Students gain practical skills in resource estimation, cost-effective algorithm development, and iterative design that are directly relevant to significant industrial roles in industries such as materials science, finance, and pharmaceuticals. Due to the hardware-agnostic nature of the Classiq platform, which enables programs developed in the course to run on QPUs from many vendors, students will gain necessary competence in cross-platform quantum deployment.

Gaining Strength for the Quantum Era

Phasecraft buys $34 million Series B to advance quantum computing

Phasecraft, a quantum algorithms business, raised $34 million in Series B. This startup aims to connect theoretical quantum computing to real-world applications. The latest funding round, led by Plural, Playground Global, and Novo Holdings' newly formed Quantum Fund, supports the company's efforts to expand industrial applications and accelerate R&D. In addition to grants, Phasecraft has raised over $50 million.

Major Quantum Software Investment Shows Confidence

Existing and new investors backed the Series B financing. Novo Holdings' Quantum Fund made its first direct investment in quantum software this round, reflecting their expanding interest in the field. Parkwalk Advisors Ltd., Albion Capital Group LLP, and LocalGlobe Management Ltd. also contributed.

Ian Hogarth, Plural's chairman and partner, called Phasecraft's algorithm development “more efficient by factors of millions”. Jeroen Bakker, Novo Holdings partner, acknowledged the “tremendous potential for molecular simulation to predict drug efficacy and optimise design” and that this investment might “reduce R&D timelines from decades to years.” Peter Barrett, general partner at Playground Global, said Phasecraft's innovations are “positioned to transition from discovery to design, ushering in an era of unparalleled dynamism in chemistry, materials science, and medicine.”

Hardware-agnostic approach yields fast results

Phasecraft's hardware-independent quantum algorithms that use quantum computing as a supplement are its key selling point. This unique technique helps Noisy Intermediate Scale Quantum (NISQ) devices solve previously unsolvable problems by reducing gate depth and error rates.

Phasecraft co-founder and CEO Ashley Montanaro stated, “The algorithms are delivering meaningful results now, whether it’s simulating the physics of complex materials or optimising the structure of a large energy network.” These algorithms can boost material simulation efficiency by millions of times, which could speed up the development of new solar cells, catalysts, and drugs.

Using Quantum Solutions to Change Key Industries

It is aggressively applying its technology to address major issues in several high-impact industries:

Life sciences and medicine: Phasecraft's algorithms for molecular simulation and predictive modelling could speed up drug development and uncover viable candidates. This could reduce research expenses and save lives.

Phasecraft and the UK National Energy System Operator (NESO) are optimising large energy network architectures. This cooperation aims to improve network dependability, lower operational costs, and accelerate renewable asset integration via quantum-enhanced optimisation.

Materials Science: Oxford PV, a solar cell manufacturer, and Johnson Matthey, a speciality materials developer, collaborate on advanced alloy design and next-generation solar-cell architectures using quantum algorithms to accelerate material discovery.

Phasecraft and UK's top telecom operator BT are improving communication infrastructure.

Future growth and strategic partnerships

Phasecraft partners with IBM, QuEra, Google Quantum AI, and Quantinuum top quantum hardware makers. Phasecraft's algorithms are integrated across NISQ devices through these collaborations, boosting commercial impact. “Some of the biggest tech companies in the world see Phasecraft as the way to accelerate the impact of their own devices,” Ian Hogarth pointed out, mentioning Google and IBM.

The extra funding will expand industry relationships and R&D. The US activities of Phasecraft are funded to bring its knowledge closer to key clients and accelerate the adoption of quantum-enhanced products.

AI Platform Partnership with Purdue and Quantum Research Sciences to Transform Air Force Technology Acquisition.

Purdue RCAC

The U.S. Air Force's access to commercial technology will be substantially simplified via ACID-R, an AI-powered platform. Purdue University's Rosen Centre for Advanced Computing (RCAC) and Indiana-based Quantum Research Sciences (QRS) collaborated on this groundbreaking tool, which will revolutionise private sector technology proposal evaluation and analysis to speed up defence modernisation.

Read also Q-Chip Transmits Quantum Signals via IP.

Fixing Tech Proposal Inefficiencies

The Air Force's technology proposal process is inefficient. Email and other outdated techniques are utilised to distribute information, and critical information is sometimes hidden in 20-page PDFs. Manual review is time-consuming and often misses vital information. QRS CEO Ethan Krimins said ACID-R will modernise this old approach and make relevant data easily accessible and valuable.

How ACID-R Changes Reviews

Vendors can upload capability assertions to ACID-R, avoiding bulky PDFs. Next, its advanced AI extracts and organises each submission's relevant data. Unlike manual document evaluation, Air Force personnel may swiftly search, filter, and examine thousands of proposals. The ability of ACID-R to automatically indicate missing information and provide vendors with real-time feedback is crucial.

This speeds up defence modernisation, especially logistics and sustainment, by helping businesses submit more complete and efficient proposals. Importantly, the platform leverages AI to give accurate information regarding for-profit, military-oriented goods and services without “hallucination,” or AI-generated falsehoods.

See also Alpine Quantum Technologies QCDC Project jump

A Major QRS-Purdue Collaboration

ACID-R shows Purdue University's Rosen Centre for Advanced Computing and Purdue Innovates client QRS' tight partnership. A national leader in high-performance computing and AI innovation, RCAC is a great partner for such a complex project. “This Air Force project is the largest and most significant collaboration the centre has undertaken with QRS to date,” said RCAC Centre Operations and Visualisation director Laura Theademan.

Daniel Madren, senior research development administrator and program leader at RCAC, oversees technical development with Air Force peers. He noted that QRS worked with AI scientists, research software developers, and visualisation experts to create this breakthrough platform.

Deep Defence and Quantum Software Expertise at QRS

Quantum Research Sciences, an Indiana software company, contributes to national security. First functional quantum software for the Department of Defence was developed by the company. QRS works with Purdue physics professor Andreas Jung and the Jung Research Group, including PhD researcher AJ Wildridge, to apply quantum computing to national security.

QRS's objective is to solve defence problems with beneficial software, according to Ethan Krimins. ACID-R strengthens the Air Force's ability to use private sector innovation by using cutting-edge AI technology. QRS discovers, develops, and distributes quantum software and investigates new quantum applications.

The Purdue Innovation and Impact Promise Purdue researchers, staff, students, and alumni need the Purdue Research Foundation's Purdue Innovates network to commercialise and create businesses. It aids venture capital, licensing, IP protection, and tech development. Top-10 US public research university Purdue University prioritises research and education while being cheap.

Quantum Vietnam Launches Cybersecurity, Aerospace Networks

Quantum Industry Europe

European Quantum Future at a Crossroads: Immediate Action Needed to Maintain Industrial Dominance

The European Quantum Industry Consortium (QuIC) has warned that if immediate and decisive action is not taken, Europe could lose its scientific edge and become a consumer of foreign quantum innovations, putting the continent at a critical point in the race for quantum technology. A comprehensive position paper in response to the European Commission's Quantum Europe Strategy by the Quantum Industry Consortium calls for a unified vision, increased investment, and streamlined governance to make Europe a global quantum powerhouse by 2030.

Analysts say “Europe cannot afford to let its scientific leadership falter at the junction of discovery and deployment,” emphasising the need for an ambitious, inclusive, and effective R&I program. Quantum Industry Consortium applauds the Commission's ambitious five-pillar strategy: research and innovation, infrastructures, ecosystem building, dual-use and space applications, and skills. The consortium emphasises that its implementation must actively address structural issues and allow “bottom-up initiatives” to prevent top-down funding channels from dominating startups and smaller labs.

Increasing funding and infrastructure access

According to QuIC, a €2 billion yearly Quantum Sovereignty Growth Fund is essential. The European Investment Bank and pension funds want to co-finance this fund, which will protect IP and offer “fast-track decision-making to rival US investor speed” to help startups and scaleups grow.

Quantum Industry Consortium cites the shortage of cleanrooms, cryogenics, and nanofabrication facilities for researchers and SMEs to advance discoveries from lab to prototype. QuIC suggests EU-backed startup and scale-up facilities to address this. The idea is to keep enterprises and talent from moving abroad for better resources.

Even though it supports the Commission's goal of 100 error-corrected qubits by 2030, Quantum Industry Consortium emphasises “quality key performance indicators,” such as coherence time, logical qubit integrity, and scalability, over raw qubit counts. As industrialisation develops, the paper advises short-term hardware platform changes before focussing on a few architectures picked by independent experts based on competitive, performance-based evaluations.

Boosting Software and Industry

The Quantum Industry Consortium believes quantum software, often disregarded in favour of hardware, should have its own strategic area. The company says “Software is the key enabler: it translates quantum capabilities into tangible outcomes for industries like pharma, logistics, finance, and energy”. It is a “strategic multiplier across the stack” since it enables hardware-agnostic design and deployment, accelerates industrial adoption, and helps build superior European quantum hardware. Without scalable, accessible software, even the most advanced technology is meaningless.

The six quantum chip pilot lines, each costing €40–50 million, are too tiny to compete globally. The Chips Act sponsors these lines. Quantum Industry Consortium supports a stronger “Chips Act 2.0” and a Quantum Chips Industrialisation Roadmap to prioritise potential platforms. A fundamental demand-side approach integrating advance purchase agreements by EuroHPC and the European Space Agency provides market signals and revenue certainty for new foundries. Failure to take such bold steps could cost Europe leadership to China and the US.

Promoting Ecosystem Growth and IP Protection

Beyond financing, the study highlights substantial barriers to startup scalability and capital availability, asserting that EU mechanisms are inferior to late-stage funding rounds in China and the US. In addition to the Quantum Sovereignty Growth Fund, stronger IP protection for Europe, including steps to prevent non-Europeans from acquiring essential IP and specialised support for patent maintenance beyond project durations, is recommended.

Quantum Industry Consortium offers “Quantum Adoption Vouchers” to fund early pilots that connect end users with startups to accelerate adoption. Member states should also establish quantum competency clusters to help SMEs. QuIC also supports a 2026 European Quantum Standards Roadmap that would promote ecosystem interoperability, quality, and security, stressing standardisation as a key European leadership area.

Skills Development, Governance, and Dual-Use Applications

Quantum technologies might revolutionise security and defence with ultra-precise sensing, encrypted communication, and advanced command and logistics computers. In recognition of the conflict between military procurement cycles and quantum startups' rapid iterations, Quantum Industry Consortium suggests a continental defence sandbox where armed forces can test these technologies and cross-border cooperative purchase of dual-use solutions. Space seems promising with proposals for orbital testbeds and European space planning.

The Quantum Industry Consortium supports the Commission's 2026 European Quantum Skills Academy to meet the urgent need for qualified quantum workers, but the €10 million funding plan is insufficient. Software engineering and control electronics have serious shortages. Increased, industry-driven investment, simpler mobility restrictions, and clear retention levers are recommended, along with expedited visas, relocation payments for European graduates, and student industrial rotations. QuIC can house apprentices, advise on implementation, and co-design courses.

QuIC recommends permanent industry representation on the Commission's High-Level Advisory Board to foster learner- and industry-inclusive governance. The group requests a European Quantum Coordination Office to coordinate national initiatives and enable collaborative research. The paper also suggests integrating non-EU countries like the UK and Switzerland, expanding international digital cooperation beyond research to industry implementation, and standardising procurement processes.

Designing for Sustainability

Quantum advancement must avoid the mistakes of previous industrial revolutions, says the Quantum Industry Consortium. From the start, the cooperation has prioritised circular design, resource efficiency, and CRM Act and EU Green Deal compliance. Although quantum may help address climate issues, the team notes that “The climate crisis is not a future concern but a present reality,” and that the immediate opportunity and responsibility is to ensure that the quantum developmental path is in line with resource efficiency, societal good, and climate goals to create a sustainable, inclusive, and future-proof industry.

Fire Opal Software

Quantum Software Improves Train Scheduling for Top UK Rail Companies and Q-CTRL

Q-CTRL, a leader in quantum infrastructure software, is conducting a large study with Network Rail and the UK Department for Transport (DfT). This study shows that quantum software improves quantum hardware performance. This might push quantum advantage into transport logistics by 2028.

Breakthrough Results

Fixing train scheduling and routing was the study's principal use case. At London Bridge station, a major UK rail hub, it showed train arrival and departure times. With Q-CTRL's optimisation software, Fire Opal Software, researchers were able to solve 6x more problems on quantum technology than without it. This achievement sets the global record for constrained quantum optimisation work size.

Q-CTRL software lowered compute costs by almost 2,500 times by solving problems faster, beating other quantum methods. Q-CTRL researchers optimised 26 trains that went through the key rail hub in 18 minutes using Fire Opal Software and IBM quantum technologies. Our findings suggest that near-term quantum computing may give approximation answers faster and better, accelerating real quantum applications in the rail sector and other transport and logistics sectors.

The Fire Opal Software Role

Fire Opal Software from Q-CTRL helped this project succeed. Fire Opal Software achieves its goals by breaking complex difficulties into classical and quantum components and enhancing quantum hardware performance.

This project relied on Network Rail's subject matter expertise to co-design a problem formulation. Train scheduling is a periodic event scheduling problem in this formulation, which Fire Opal's optimisation solver can handle. Users with rail scheduling expertise can utilise quantum software without quantum computing understanding since it automates error suppression and simplifies quantum circuit configuration and operation.

Problem-solving with Fire Opal Software involves:

End-users define the issue.

The “easy” half of the problem is solved classically.

Fire Opal Software optimisation solver solves this simplified issue for the quantum solver, which handles the “hard” component.

With evaluations and solution visualisations that emphasise critical metrics and conflicts, the quantum solver output is then made approachable.

Benefits of Fire Opal

Fire Opal Software increased the solved problem size six-fold compared to quantum hardware without Q-CTRL's software. This achievement set the world record for the largest limited quantum optimisation task.

Fire Opal's method solved problems faster than rival quantum technologies and cut processing expenses by more than 2,500x.

Fire Opal Software accelerates the date for a tangible quantum advantage in transport logistics to 2028 by improving quantum hardware performance.

It improves near-term quantum computing by making approximations faster and better.

Fire Opal Software helps solve tough problems by splitting them into conventional and quantum parts. The quantum solution solves the “hard” part of a problem, whereas classical methods handle the “easy” part.

It boosts quantum hardware performance.

User Accessibility: Fire Opal Software handles Periodic Event Scheduling concerns, which automate error suppression and remove quantum circuit configuration and running. This allows end users without quantum computing understanding to use quantum software immediately, even if they specialise in train scheduling.

After the solution, Fire Opal Software converts the quantum solver output into a user-friendly format with evaluations and solution visualisations that highlight key metrics and conflicts.

Using actual train arrival and departure timings at London Bridge station, it optimised 26 train routes in 18 minutes, confirming its relevance to real-world circumstances. To achieve the optimal routing on a real quantum device, Network Rail recommended Fire Opal Software.

Fire Opal Software makes quantum optimisation more powerful, effective, and accessible for logistics and transportation.

Industry Outlook and Perspectives

Lead Solutions Engineer Niall Moroney of Q-CTRL said, “We expect our quantum solver to outperform classical approaches as early as 2028.” He added that quantum optimisation is particularly useful for train scheduling because even little improvements can improve sustainability, efficiency, and dependability.

Network Rail's Principal Engineer, Nadia Hoodbhoy, was pleased to see Q-CTRL's optimisation solver realise the optimal routing of 26 trains over 18 minutes of real scheduling data for the full station topology on a quantum device.

Sarah Sharples, Department for Transport Chief Scientific Advisor, said this might improve future train services. “A difficult but essential element for future rail services is higher-quality and more flexible scheduling,” Sharples added. Q-CTRL has shown how quantum computing might enable and possibly accelerate this capability, and their roadmap towards a real-world quantum solution seems promising.”

Project Funding and Recognition

IBM Qiskit

IBM today announced the development and global adoption of its quantum software, Qiskit. Since its launch in 2017, Qiskit, an open-source software development kit (SDK), has enabled over 550,000 users to create and execute quantum circuits on IBM’s quantum hardware platforms, totaling over 3 trillion quantum circuit executions.

To achieve even greater performance, Qiskit has been developed into a whole software stack in its most recent version. From its humble beginnings as a well-liked quantum software development kit for investigating and executing quantum computing experiments, it has developed into a reliable SDK and services portfolio, designed to help users gain better performance when executing intricate quantum circuits on more than 100 qubit IBM quantum computers.

Members of the IBM Quantum Network will be able to discover the next generation of quantum algorithms in their respective areas with the most powerful Qiskit capabilities thanks to this extension, which will also help them uncover quantum advantage.

Users must have a set of tools that can map their issues to make use of both sophisticated classical and quantum computation, optimise the problem for effective quantum execution, and then successfully execute the quantum circuits on actual quantum hardware in order to achieve quantum advantage. These tools, which IBM has been developing for the past seven years, are now coming together to form the Qiskit software stack.

Qiskit has had over 100 releases since its debut as a pioneering quantum computing research tool. Qiskit is used by enterprises, governments, research centres, and universities to undertake large-scale quantum experiments.

The Qiskit software stack is expanded to include:

The Qiskit SDK v1.x stable release is designed for creating, refining, and displaying quantum circuits.

Quantum circuit optimisation using artificial intelligence (AI) integrated into the Qiskit Transpiler Service.

Simplified modes of operation for the Qiskit Runtime Service, which may be adjusted to run quantum circuits efficiently on quantum hardware.

Watsonx-based generative AI models enable the Qiskit Code Assistant to automate the creation of quantum code.

Using quantum hardware and classical clusters, quantum-centric supercomputing tasks can be executed using the Qiskit Serverless open-source platform.

Qiskit SDK

Circuits for quantum hardware can now be optimized 39 times faster than with Qiskit 0.33 thanks to the addition of new features and enhancements to the Qiskit SDK. In addition, Qiskit is designed to minimize overhead and minimize the size of circuits; it has been shown to cut memory use by an average of three times when compared to Qiskit 0.43.

Additionally, by integrating AI and heuristic passes with the Qiskit Transpiler Service, customers can minimise circuit depth in comparison to utilising the Qiskit SDK without AI optimisation.

According to Jay Gambetta, IBM Fellow and Vice President, IBM Quantum, “the global adoption of quantum computing and the discovery of quantum advantage will require a combination of leading quantum hardware alongside a robust and performant software stack to run workloads.” The algorithm discovery process that has started on utility-scale quantum technology is based on these two foundations. The Qiskit stack is expected to serve as a fundamental tool for investigating the computational domains where quantum computing shines, as an expanding quantum ecosystem matches its most challenging issues to quantum circuits.

In 2023, IBM gave its quantum hardware’s utility-scale capabilities its first public demonstration. This was the first step towards a future where quantum hardware would be able to execute quantum circuits more quickly and precisely than a classical computer could emulate a quantum computer. Designed to optimise the capabilities of cutting-edge quantum hardware, the Qiskit software stack seeks to support a worldwide community of users in exploring novel quantum algorithms that investigate scenarios in which quantum computing may outperform traditional methods in solving problems.

Giorgio Cortiana, Head of Data and AI – Energy Intelligence, E.ON, stated, “it offers a valuable set of tools for E.ON as we investigate how quantum computing could help us navigate the financial and operational complexities of the energy industry.” “Our team is able to advance utility-scale prototypes with this as a performant foundation to build and discover quantum algorithms that can be applied to business use cases, with the aim of finding new solutions to challenges in the European energy sector.”

Senior scientist Stephan Eidenbenz of Los Alamos National Laboratory stated, “We started using Qiskit for our quantum computing efforts several years ago as part of an effort to help develop a quantum-ready workforce.” Every day, scientists in the lab utilise this to experiment with novel algorithmic concepts and to communicate with IBM’s quantum hardware backends. Our team can also add compiler optimisation steps and enable pulse-level access thanks to it’s open nature.

We have executed circuits on IBM’s quantum hardware at Brookhaven using Qiskit, and this work has led to the publication of around 20 articles to date, covering topics such as condensed matter systems, dynamic systems, and physics frontiers. According to James Misewich, Associate Laboratory Director for Energy and Photon Sciences at Brookhaven National Laboratory, “Qiskit has also allowed our teams to develop extensions that push forward our exploration of bosonic and hybrid qubit-bosonic circuits, and how they could advance fundamental quantum algorithm development and error correction.”

“We have integrated IBM’s Qiskit resources and tutorials into our educational programmes through Brookhaven’s Co-design Centre for Quantum Advantage, where we partner with academic institutions like Stony Brook University to prepare the quantum workforce of the future, as we advance the scientific applications of quantum computing.”

Director of the Department of Energy’s Quantum Science Centre at Oak Ridge National Laboratory, Travis Humble, stated, “Advances in quantum computing software can help support the innovation and rapid growth of our user community and their developing technologies for our Quantum Computing User Programme here at Oak Ridge National Laboratory.” Enhancements in software efficiency will have a substantial influence on how users assess and test the capabilities of current quantum computing systems.

“The Q-CTRL team is excited about collaborating with Qiskit for building,” stated Michael J. Biercuk, the company’s founder and CEO. “Its flexible new interfaces and enhanced stability are enabling us to efficiently build simple abstractions on top of our powerful performance-management software at utility scale, so end users can explore their toughest problems with a single command.”

Constructed for the Quantum Utility Era and Beyond

The breakthrough quantum circuits to advance the quantum utility era are planned to be run by it’s software stack, which is designed to handle the quickly evolving quantum hardware and offers flexibility independent of vendor. This is accomplished by using the Rust programming language in place of performance-critical code, together with an extensive set of tools to facilitate the effective operation of quantum circuits.

The company anticipates that it will continue to provide a framework for the open, iterative, and collaborative development of new quantum algorithms and applications, carried out in conjunction with a growing global ecosystem of clients across industries and domain expertise areas, as IBM continues to build milestones along its IBM Quantum Development and Innovation Roadmap towards error-corrected systems.

Furthermore, the goal of these developing capabilities is to assist users in combining classical and quantum computing resources into a new high-performance computing paradigm characterised by quantum-centric supercomputing, which combines CPUs, GPUs, and QPUs. This next step in high-performance computing, orchestrated by it’s performant software layer, intends to create significant, new, and powerful opportunities for companies throughout the world.

Qiskit 1.0

Please note that IBM’s performance claims for Qiskit are based on comparisons between the software’s performance in its present version and its performance in relevant previous versions when users could access similar functionality. The IBM Quantum Summit 2021 saw a total speed time of 430.89 seconds for Qiskit 0.33. When Qiskit 1.0 was released in February 2024, its total speed time was equal to 10.9 seconds.

Please note that IBM’s performance claims for it is based on comparisons between the software’s performance in its present version and its performance in relevant previous versions when users could access similar functionality. In May 2023, Qiskit 0.43 used 1,750 MiB of RAM. When Qiskit 1.0 was released in February 2024, its memory utilisation was equal to 580 MiB.

The plans, directions, and intentions expressed by IBM are subject to modification or retraction at any time, at IBM’s sole discretion, and without prior notice. Any future features or functionality that we mention for our products are subject to our exclusive discretion regarding their development, release, and timing.