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Classiq's High-Level Qmod Language Changes Quantum Algorithm Design

Quantum computing is progressing from prototypes to applications, but programming these complex devices is difficult. Today, Classiq is tackling this problem with Qmod, a high-level quantum modeling language that abstracts gate-level implementation and qubit management. Qmod is being called the “C language moment” for quantum computing because it lets developers focus on algorithm functionality rather than hardware limitations.

Classiq's Qmod: A Novel Quantum Programming Method Quantum programming required researchers to manually position each Hadamard and CNOT gate for years, like assembly code. Classiq's Qmod language allows both high-level programming and quantum computing. Qmod lets a hardware-aware synthesis engine select gate-level implementations and control qubits to meet circuit property requirements, according to the latest documentation.

A solid infrastructure supports this abstraction. At version 1.3.0, the Classiq Library offers thousands of components to accelerate development. Three input formats, a Native Qmod syntax, a Python embedding using the Classiq SDK, and a Graphical syntax for visual modeling show the language's versatility. The Python integration lets users dynamically create complex quantum descriptions using general-purpose computing and Python resources.

Grover's Algorithm Simplifies Complexity

Qmod's handling of Grover's search is one of its strongest features. The “phase oracle” or “diffuser” in conventional quantum programming may require a low-level approach termed “phase kickback” that leverages ancilla qubits to hide the algorithmic logic.

The Qmod ‘control’ and ‘phase’ commands simplify this. Although similar to a ‘if’ statement, Qmod's ‘control’ statement implements the condition reversibly and coherently. This implies that the condition and methods cover a superposition of states. Developers can phase shift states using Boolean expressions over quantum variables.

The high-level technique was used to assign a + 2b + 3c = 10 in a recent challenge. Developers only need to write the condition, and the Qmod compiler will automatically implement the gate-level oracle, saving them time. In addition to Grover's approach, amplitude amplification, quantum walks, and amplitude estimation use this twofold reflection pattern.

From Lab to Industry

Qmod is used in most major sectors. Several methodologies and use cases are modeled.

Finance: Brownian motion modeling, QAOA/HHL portfolio optimization, and European option price estimation. Chemistry and pharmacology: potential energy curves, molecular energies, and QFold protein folding.

Cybersecurity: vertex cover patch management for “Kill Chains” and quantum computer whitebox fuzzing.

Optimization: Facility placement, truck route, and traveling salesman issues.

A quantum algorithm developed by Comcast, Classiq, and AMD to increase internet delivery reliability is a recent platform milestone. This shows how Qmod is used in infrastructure challenges and theoretical investigations.

Hardware-Aware Synthesis, Multi-Cloud

Integrating with many quantum hardware providers is one of Qmod's main advantages. IBM, IonQ, Google, Amazon Braket, Azure Quantum, Alice & Bob, and others are Qmod backends. In addition to translating code, the synthesis engine does hardware-aware synthesis to customize circuits to the target computer's specific features.

The platform includes advanced data analysis, execution budget management, and quantum program visualization. Classiq Studio's AI-driven features make quantum software development easier.

The Future

Qmod core and open libraries are expanded by Classiq as the quantum ecosystem changes. New features include Quantum Singular Value Transformation (QSVT), Quantum Signal Processing Hamiltonian modeling, and Quantum Differential Equation Solvers.

Classiq Quantum computing

AMD, Classiq, and Comcast successfully tested quantum algorithms to improve internet routing. This project determined the optimal backup routes to avoid service interruptions during hardware faults or maintenance to boost network resilience. The team employed AMD Instinct GPUs to perform quantum computations and high-scale simulations to overcome technical limitations. This hybrid technique allowed the researchers to solve complex combinatorial optimization problems, which are difficult for traditional computers as networks grow. The project's ultimate goal is to demonstrate that quantum software can meet modern digital infrastructure demands.

In the experiment, Classiq, the leading quantum software company in Israel, and the Philadelphia telecom giant are working together. Finding autonomous backup paths for network sites during maintenance and change management is a fundamental topic in modern network architecture.

Modern Internet Complexity Solution

Global networks become tougher to maintain as they grow. Comcast aims to effortlessly shift traffic without inconveniencing consumers if one network site goes offline for repair and another breaks at the same time. Finding fast, reliable, and low-latency backup paths is a combinatorial optimization problem with a huge search space.

Comcast Connection and Platforms Chief Network Officer Elad Nafshi remarked, “Our customers want simple connectivity that is fast, secure, and dependable.” He noted that while the goal is simple, modern networks' scale and dynamic nature make execution complex. The trial proved quantum computing for network optimization is viable and scalable, Nafshi said.

Combining Quantum and Classical High-Performance Computing

A combination method of high-performance classical computers and quantum approaches made the experiment successful. In accelerated simulation situations, researchers used AMD Instinct GPUs to achieve qubit scale computing. This allowed algorithm behavior validation and fast iterations at a scale beyond quantum technology.

AMD's corporate vice president of Compute and Enterprise AI Products, Madhu Rangarajan, said computing will merge quantum and traditional systems. By supporting quantum execution with high-performance conventional goods, the alliance showed how these two technologies may solve real-world operational difficulties.

Classiq Quantum Software Function

Classiq provided the engineering support and tools needed to describe these complex difficulties, which drove algorithmic progress. Classiq's platform generates hardware-ready, efficient quantum circuits using AI-driven coding and Qmod, a high-level modeling language.

Corporate quantum research and development requires repeatable methods and the ability to simulate on GPUs and quantum hardware, according to Classiq co-founder and CEO Nir Minerbi. He added this cooperation shows how teams may model and explore solutions to difficult problems while retaining portability as the quantum environment develops.

Classiq is a category leader and a 2025 Fast Company “Next Big Thing in Tech”. The company works with BMW, Rolls-Royce, and Deloitte to solve industrial problems using quantum technologies with the help of SoftBank, AMD, Qualcomm, and HSBC.

To the Future: Quantum Ecosystem

This study affects more than telecoms. Classiq works with NVIDIA, Rolls-Royce, and Citi on quantum applications such computational fluid dynamics and financial portfolio optimization. Healthcare, automotive, and finance are also studying quantum solutions, and “Energy & Networks” joined them after Comcast's trial success.

EuQlid and iPronics Drive Industrial Quantum Precision 3D Imaging and Flexible Hardware for Next Generation

Significant funding pledges and cutting-edge hardware solutions have signalled quantum technology's quick transition from lab to industry. EuQlid, a quantum technology startup, launched its Qu-MRI Quantum Sensing Platform for 3D semiconductor and battery flaw detection from stealth mode to fill a need in advanced industrial metrology.

EuQlid received $3 million in seed and funding from QDNL Partnerships and Quantitation, in addition to approximately 1.5 million in early client income. This funding accelerates the company's 3D imaging solution for batteries and semiconductors.

See the Unseen with EuQlid's Qu-MRI Platform

Qu-MRI, the company's quantum imaging platform, combines quantum magnetometry with advanced signal processing and machine learning. This device offers nano-amp-sensitive, high-throughput mapping of subsurface current flow without physical touch or cross-sectioning.

By revealing subterranean current flow that present inspection instruments cannot see, this feature addresses a major need in the energy storage and semiconductor industries. EuQlid provides “quantum precision” to high-volume industrial environments and research and development labs, capitalising on a $10 billion worldwide metrology equipment industry.

Numerous Qu-MRI applications include finding connection difficulties in high-bandwidth memory manufacturing and spatially studying power flows in CPUs and GPUs.

Imec, a leading semiconductor research and development organisation, says Qu-MRI satisfies a basic technological need for next-generation semiconductor design and production by non-invasively visualising subsurface connection defects. With the demand for AI and sophisticated computers, which require complex 3D structures, the platform aims to expedite innovation, enhance yields, and optimise production operations.

EuQlid was founded by Harvard, Yale, and Maryland engineers and scientists who merged quantum sensing, atomic physics, and semiconductor industry knowledge. The Qu-MRI platform is based on the Quantum Diamond Microscope (QDM), the company's original product, which has been sold worldwide for bioimaging and geosciences.

Quantum Hardware Adaptability

Given the hardware industry's quick advancement and high expenses, especially in quantum computing and QIS, product design must be flexible. In this competitive economy, flexibility is essential due to product line production costs and small profit margins. Creating a “one-trick pony” product instead of a task-specific one can save risk and costs.

Valencia, Spain-based iPronics is pioneering this adaptive integrated photonics technique. Founded in early 2020 by researchers at the Photonics Research Labs, iTEAM Research Institute, Universitat Politècnica de València (UPV), iPronics develops adaptable solutions using Field-Programmable Photonic Gate Arrays (FPPGAs).

The cost savings by repeating hardware architecture is iPronics' value proposition. This technique could assist optical communications, sensing, microwave photonics, and linear processing for conventional and quantum applications.

The iPronics team includes Ph.D. in telecommunications Ivana Gasulla (CIO), a postdoctoral Fulbright fellow at Stanford University's Ginzton Laboratory. COO Jose Capmany co-founded VLC Photonics and has two Ph.D.s. He teaches photonics and optical communications at UPV. CTO Daniel Pérez López worked at Xanadu, a silicon quantum photonic chip pioneer. The chief product officer, Prometheus DasMahapatra, worked at semiconductor giant ASML.

iPronics was named a “to watch” in the first Spinoff Prize, backed by Nature Research and Merck in Germany, shortly after its founding. The 2020–2021 SMARTLIGHT project received a grant from IVACE.

With its team established, iPronics is poised to become a leading player in “software-defined optical hardware capable of performing multiple tasks,” a technology that might revolutionise QIS and QC.

Broader Quantum Industry Momentum

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

Comcast Quantum Comcast Launches Classiq and D-Wave in Quantum Lab to Meet Network Demands

Comcast quantum launched a quantum lab today to prepare its internet network for exponential data growth. The company is conducting industry-first trials with quantum computing companies D-Wave Quantum Inc. and Classiq to see how quantum systems might improve network infrastructure management. Modern internet consumption strains broadband networks, so the project aims to reduce that strain. Elad Nafshi, Comcast's Chief Network Officer for Connectivity and Platforms, noted that data consumption is rising at an unprecedented rate. Nafshi stated, “The demands on the network are growing exponentially,” noting several issues. In 2025, 40% more major sporting events will be live-streamed, and live streaming is rising at 25% each year. Online gamers are downloading games that weigh over 100 gigabytes and playing more complicated and dynamic games. Most notably, ChatGPT data traffic has virtually tripled for Comcast since May. These trends make incremental network increases insufficient, according to Comcast. The company is turning to quantum computing, which can solve complex problems better than classical machines, for novel solutions to stay ahead.

Future Trials: Quantum and Network Management

Classiq And MegazonCloud A Strategic Partnership to Advance Korean Quantum TechnologyClassiq, an Israeli quantum software (SW) company, and MegaZoneCloud, a leading Korean AWS Cloud MSP, announced a strategic agreement. This alliance aims to accelerate quantum computing commercialisation and utilisation, particularly in Korean industry. The Memorandum of Understanding (MOU) was signed at the '‘Quantum Korea 2025' event at the aT Centre in Yangjae-dong, Seoul, from June 24–26, 2025. The announcement was made around July 1 or 2, 2025.

Understanding MegaZonCloud

MegaZoneCloud is a leading cloud-native and AI company with over 2,000 experts. It promotes innovation and growth as a trusted digital transformation (DX) partner to over 7,000 clients worldwide through strategic agreements with prominent domestic and international cloud service providers (CSPs).

MegaZoneCloud sells cloud, AI, and security products and collaborates with 140 ISVs. To help clients thrive, the organisation uses data, smart technology, and employee effort to “Transform Tomorrow, Together”. MegaZoneCloud grows with international partners and clients in Korea, North America, Japan, Southeast Asia, and Oceania.

Importantly, MegaZoneCloud wants to become “Asia’s largest quantum cloud service hub” or “Asia’s leading quantum cloud service hub” in the quantum environment. The company simplifies Amazon Braket, Amazon Web Services' quantum platform, for Korean enterprises. This service enables real-world applications in chemistry, optimisation, and quantum AI.

MegaZoneCloud combines Classiq's cutting-edge algorithm creation platform with its cloud capabilities to encourage Korean firms to adopt and use quantum computing. MegazoneCloud's Chief Quantum Officer, Brad Kim (also identified as Kim Dong-ho in one source), called the possibility “an important opportunity to accelerate the popularisation of quantum computing and enable practical use of industrial sites”. He was informed MegaZoneCloud intends to “strengthen its position as the go-to quantum cloud platform in the Asian market” by providing simple quantum algorithm design tools.

Understanding Classiq

Classiq Technologies is a leading quantum software supplier. Tel Aviv-based Classiq offers a powerful quantum software development environment. This platform aims to simplify quantum program development.

The main features of Classiq are:

Qmod quantum modelling, a high-level quantum programming language, underpins its platform.

Deep compilation: This method works best with quantum hardware and high-level quantum programming languages like Qmod. It helps create and implement quantum applications and builds complex quantum algorithms.

Interoperability with many gate-based quantum hardware: This important interoperability is guaranteed by deep compilation.

High-level abstracted development simplifies design: This strategy efficiently creates complex quantum programs.

Wider user accessibility: The platform lets non-specialists design and optimise quantum applications. Automating quantum programming lets academics and industry construct complicated quantum applications without formal quantum understanding.

As quantum hardware's physical qubit count is expected to expand substantially, Classiq's model-first technology is becoming vital for genuine quantum computing.

With this in-house technology, the platform can rapidly synthesise quantum circuits with millions of gates, allowing complex quantum applications to run on any quantum computer and scale easily.

Nir Minerbi, co-founder and CEO of Classiq, said the agreement with MegaZoneCloud will provide “intuitive and scalable quantum development technology to the Korean market”. He said they want to “enhance the practical value of quantum technologies across industries and jointly prepare for the rapidly approaching era of powerful quantum computing“.

Goals of the Strategic Partnership

The Memorandum of Understanding between Classiq and MegaZoneCloud aims to accelerate quantum technology commercialisation in Korea. The collaboration covers several key areas:

Collaboration on quantum education in Korea.

Developing and executing customer-focused PoCs. The industry will emphasise empirical technical verification and Proof of Concepts.

Investigating hybrid computing technology integrations.

Encourage quantum ecosystem growth by collaborating with regional and worldwide developer organisations and holding customised client workshops.