#distributedquantumcomputing

Qubit-Photon Interface QPI

Nu Quantum announced the Cambridge opening of its trapped-ion networking lab. World leader in quantum computer networking is Nu Quantum. This cutting-edge center doubles the company's research infrastructure, showing substantial progress. The expansion aims to accelerate distributed quantum computing development, which is necessary for practical applications.

This is the first industrial R&D laboratory for trapped-ion distributed quantum computing in the UK and Europe, located next to the company's R&D headquarters. After its $60 million Series A, Nu Quantum starts a new QPI era of expansion. Global quantum networking firm's largest fundraising round.

Through the “Entanglement Fabric” Scale

Quantum computing's main issue is scaling. Quantum computers need many more high-quality qubits to do complex tasks. Instead of building a single device, Nu Quantum proposes to incorporate quantum processors into a modular, distributed computing fabric.

This goal depends on the company's “Entanglement Fabric” technology roadmap. This plan creates a strong photonic networking layer to connect multiple quantum computing nodes into a powerful unit. Nu Quantum is creating high-performance entanglement linkages between qubits in multiple nodes to make quantum architecture more adaptive and scalable.

Technical Heart: Qubit-Photon Interfaces

Nu Quantum's multi-node networking testbed will reside in the new Cambridge facility. In this controlled environment, the company will exhibit its industry-leading Qubit-Photon Interface (QPI) technology for trapped-ion qubits. Advanced optical microcavity technology and custom ion traps make these interfaces a precision engineering feat.

QPI hardware outperforms state-of-the-art remote entanglement experiments. Nu Quantum excels in several key areas, making this possible:

Fabricating extremely accurate optical microcavity mirrors to capture photons and interact with ions.

Novel Entanglement Protocols: Developing communication protocols to better entangle the qubit-photon interface over distance.

Systems-Level Integration: Using a holistic approach to ensure that lasers and traps work properly in a distributed network. Dr. Claire Le Gall, Nu Quantum's VP of Technology, stressed the importance of this stage, saying the team is moving from years of basic research and development to rigorous internal testing employing trapped-ion qubits. She called the lab opening a “major milestone” for the team.

A Flexible Architecture

The new laboratory focuses on trapped-ion qubits, although Nu Quantum's technology is versatile. The company recognizes that various modalities compete in the complex quantum landscape. Thus, Nu Quantum's design supports several quantum computing modalities.

As part of an Innovate UK cooperation with Infleqtion, the company unveiled the first neutral atom qubit QPI in 2024, demonstrating its versatility. Nu Quantum's ability to adapt and exploit its networking experience across many Qubit-Photon Interface types ensures that it will remain a crucial infrastructure supplier regardless of the hardware modality that dominates the market.

Investment and talent fuel innovation

Nu Quantum expanded into the new lab due to its recent financial success. Series A financing of $60 million enabled scaling of personnel and infrastructure. Engineering and scientists with trapped-ion technology and atomic, molecular, and optical (AMO) physics expertise are in high demand at the company.The Nu Quantum founder and CEO, Dr. Carmen Palacios-Berraquero, said, “The opening of new laboratory is huge milestone. This will expedite the roadmap to interconnected quantum computer architectures.”

Strengthening Quantum Ecosystem

Nu Quantum is inactive in vacuum. Top-tier partners are crucial to its growth. The new facility will benefit from research ties with Cambridge, Sussex, and the UK's National Quantum Computing Centre (NQCC).

Professor Mete Atatüre, Head of the Cavendish Laboratory at the University of Cambridge and a Founding Advisor to the firm, believes industry-led R&D is necessary for the UK to lead the quantum race. He said the new testbed will push these systems at industry-relevant scales and that the “quantum interconnection challenge remains a bottleneck” for compute and quantum communications.

The facility's cutting-edge equipment shows these collaborations. Key to the facility is a laser suite with wavelength stabilization and photonics delivery designed with the NQCC. This program was funded by the NSSIF, highlighting quantum networking's strategic importance for national security. In Nu Quantum's development environment, foundry subcontractor Infineon Technologies and industry partners like Cisco are crucial.

Professor Matthias Keller of the University of Sussex called the lab “yet another sign that Nu Quantum is pushing the frontier of quantum networking,” and he was excited to broaden their fruitful relationship.

Vision for the Future

Nu Quantum Company

The Spanish government's €9.75 million investment in Cambridge-born Nu Quantum has changed the worldwide quantum supremacy race. This $60 million (£47 million/€51 million) investment relies on this funding. The largest Series A funding round for a quantum networking business.

For Nu Quantum to become a leading European hub for photonic infrastructure and quantum networking, a Spanish subsidiary is a key requirement of this deal. Dr. Carmen Palacios-Berraquero, CEO and founder of Nu Quantum, and Oscar López Águeda, Minister for Digital Transformation and Public Administration, made the news at the fourth S4i summit in Madrid.

Moving to Distributed Computing

Nu Quantum is pioneering distributed quantum computing while the industry develops more powerful individual quantum computers. Each quantum computer lacks enough qubits to solve practical issues. Their strategy relies on Nu Quantum's Entanglement Fabric technology. Real-time connections combine the computational capability of numerous quantum processors.

A new Spanish subsidiary will focus on commercializing the Quantum Networking Unit. These devices are the quantum world's "switches," while Photonic Integrated Circuits (PICs) will offer the "cables"—ultra-fast, low-loss modules that carry data between nodes.

The best method to commercialize quantum computing for drug discovery, climate modeling, energy optimization, and communications security is via a network, say experts.

Economic Impact and “Technological Sovereignty”

The Spanish Society for Technological Transformation (SETT) funded this investment, which the government says is essential to the PERTE Chip initiative. The PERTE Chip uses NextGenerationEU recovery funds to strengthen local semiconductor and microelectronics capabilities.

The government hopes to achieve numerous strategic goals by building Nu Quantum's infrastructure in Spain:

The project will immediately produce over thirty highly skilled jobs by attracting top individuals from around the world.

Ecosystem Integration: Nu Quantum will work with Barcelona's facility of Photonic Sciences (ICFO), a major Spanish research facility. European Sovereignty: By enhancing Europe's "technological sovereignty," the effort ensures that the continent stays competitive and doesn't rely on American or Asian hardware for infrastructure.

A Leadership “Homecoming”

The agreement is important to Dr. Carmen Palacios-Berraquero personally and professionally. National Grid Partners, Gresham House Ventures, and Amadeus Capital Partners have supported her leadership since she started the company in 2018 as a Cambridge spin-off.

Dr. Palacios-Berraquero said, “It is particularly meaningful to contribute to a national commitment to quantum infrastructure built on PICs and the QNU because it was born and raised in Spain.” She says the financing supports their solution and recognizes Spain's photonics potential.

Minister Áscar López Águeda expressed optimism, noting that Spain is poised for everyday debates on quantum technology. Spain's quantum ecosystem will benefit from Nu Quantum's secure networks, enabling commercial applications.

Understanding Nu Quantum in Detail

Since Nu Quantum is a “key player” in the global quantum business, their technological and strategic issues must be examined.

The Issue: Scalability Bottleneck

The “main challenge” of quantum computing in industry is scalability. Due to quantum state instability, building a huge quantum processor is difficult. Nu Quantum suggests a distributed solution. They suggest a network of smaller computers instead of one large one.

Core Technology: Entanglement Fabric

Entanglement Fabric is the company's signature technology. This architecture connects quantum processors to construct massive, distributed networks.

The Quantum Networking Unit (QNU) is the main hub or “switch” for quantum data.

Photonic Integrated Circuits (PICs): These enable quick, low-loss switching and sensor modules. Quantum circuits preserve quantum features as quantum information moves between processors.

Public-private strategic collaboration

Nu Quantum adopts public-private partnerships. Its $60 million Series A investment closed in December 2025 with a broad collection of foreign and government sponsors. These backers included:

Strategic investors include National Grid Partners, Sumitomo (Presidio Ventures), and East Innovate.

Venture financing includes IQ financing, Amadeus Capital Partners, Gresham House Ventures, and Morpheus Ventures.

Spain's SETT, UK's NSSIF, and Cambridge Enterprise Ventures are government and institutional. Effects on Real Industries

Nu Quantum provides networked computing capacity to unlock economic value in numerous key areas:

Healthcare: Complex molecular simulations accelerate drug discovery.

Sustainability: Energy and climate modeling improvements.

Simulating complicated materials.

UK Series A Round Funding

Nu Quantum obtains $60 million in A Series funding for quantum computer networking, the largest ever.

The pioneer in distributed quantum computing, Nu Quantum, closed an oversubscribed $60 million funding round, the largest by a pure-play quantum networking startup and the largest quantum Series A in the UK. Gresham House Ventures and Morpheus Ventures joined National Grid Partners in the fundraising. Sumitomo (Presidio Ventures), Cambridge Enterprise Ventures, East Innovate, NSSIF, Amadeus Capital Partners, IQ Capital, and Ahren Capital remained supporters.

This large investment will help Nu Quantum increase its diverse personnel, accelerate its Entanglement Fabric plan, and expand globally. Nu Quantum needs to integrate quantum processors into a more powerful distributed quantum computer to achieve fault tolerance and unleash the $1 trillion quantum computing economy.

Solving the Scaling Issue

Despite the fact that quantum computers can model molecules and simulate and optimise systems like electric grids and financial markets, the industry has traditionally focused on improving individual quantum processors. True utility and fault tolerance require expanding systems to 1,000 times more qubits.

Nu Quantum's quantum networking stack tackles this difficulty and lets quantum computers evolve by combining processors into a modular, distributed computing fabric. This method is comparable to how networking helped establish cloud and AI data centres and high-performance computing in traditional computers. Quantum data centres with distributed architectures and Entanglement Fabric networking could enable mass commercialisation, according to Nu Quantum.

For distributed, fault-tolerant computing, the company's modular, interoperable Entanglement Fabric networking layer provides connectivity speeds and architecture. For sophisticated calculations, quantum computers need high-quality qubit entanglement. Photonic quantum networking must establish entanglement relationships between qubits in neighbouring processors to transcend solitary processors. High-fidelity and high-speed modular scaling of quantum computers, communication, and sensor networks is the biggest technical challenge. Nu Quantum's design can scale for multiple Qubit modalities.

Investor Verification, Future Plans

Dr Carmen Palacios-Berraquero, Nu Quantum's CEO and founder, noted that few were considering networked or distributed quantum computing as a scaling option seven years prior to the company's founding. She said the funding validates their strategy and solution's maturity for expansion.

Investors trusted Nu Quantum's industry-resolution strategy:

Steve Smith, President of National Grid Partners and Chief Strategy and Regulation Officer of National Grid, said Nu Quantum is leading the way in bringing this powerful technology to market and solving modern problems.

Maya Ward, Investment Director at Gresham House Ventures, expressed optimism that Nu Quantum can unlock useful, large-scale quantum advantage by addressing fidelity and scaling challenges.

Nu Quantum is addressing scalability, a major quantum computer challenge, according to Morpheus Ventures Partner Damien Petty.

Nu Quantum chair Dr. Hemant Mardia compared quantum computing to classical computing, noting that photonic networking was vital to data centre expansion and that Carmen Palacios-Berraquero is building a comparable paradigm.

To achieve an ambitious strategy, substantial fundraising will fund product development and deployment. This requires building on its first quantum networking subsystems, the Quantum Networking Unit in 2025 and the Qubit-Photon Interface in 2024. Its pioneering Distributed Quantum Error Correction will guide system architecture.

International scholars have announced a new communication protocol that smashes a scaling barrier in quantum state attribute transfer, paving the way for a resilient and functional quantum internet. This development directly addresses the fundamental difficulty of reliably communicating quantum state subtleties over intrinsically noisy channels.

The new Shadow Tomography-based Transmission with Unequal Error Protection (STT-UEP) reduces communication resources by scaling complexity logarithmically with the number of attributes the receiver wishes to learn. Logarithmic scaling is a significant improvement over exponentially more resource-intensive techniques.

Along with Riccardo Bassoli and Frank H. P. Fitzek, Nikhitha Nunavath, Jiechen Chen, and Osvaldo Simeone hope to usher in a new era of efficiency for distributed quantum computing and sensing systems, bringing the field closer to reliable, long-distance quantum networks.

Overcoming Exponential Wall

Understanding the fundamental limits of quantum information transmitting is necessary to understand the STT-UEP breakthrough. A large, continuous space of possibilities defines quantum states, unlike classical bits. The resource-intensive process of quantum state tomography characterises and transmits quantum state information. For a system with n qubits, this process becomes exponentially more difficult. The “exponential wall” refers to the fact that scaling from 50 to 100 qubits increases the resources needed for accurate characterisation to unrealistic, often impossible levels.

Many theoretical protocols for reliable quantum communication require pre-shared entanglement, a quantum link between the transmitter and the recipient. This paper addresses the more challenging but common real-world circumstance. STT-UEP lets a sender convey quantum state attributes over noisy conventional communication channels without an entangled link. Noise has always been the biggest challenge to building scalable quantum networks without exponential scalability.

Characterising the Invisible: Shadow Tomography

Classical shadow tomography, a powerful, modern technology, solved the scale problem for the researchers. Shadow tomography can quickly reveal the important properties of a complex quantum state.

The sender makes a few well-chosen, random measurements on copies of the quantum state instead of all potential measurements. Measurement output, called “classical shadows,” is relayed over the noisy classical channel. Processing these classical shadows at the receiving end can precisely estimate several observables of the initial quantum state. Compared to standard tomography, the amount of data needed to make a usable classical shadow scales much more favourably, enabling resource-efficient encoding.

Leap to Logarithmic Communication

The main result of the STT-UEP protocol is that the number of observable properties the receiver wishes to learn only logarithmically increases with communication complexity, or classical bits delivered. Experiments show that STT-UEP uses logarithmically more bits in proportion to the maximal weight of the observables.

Compare exponential and logarithmic growth to see this astonishing achievement: exponential scaling requires twofold the effort for each unit of complexity. Due to effective compression of the data structure, logarithmic scaling requires only a minor increase in capacity for extra complexity.

For instance, a somewhat longer truck can transport the necessary data. For the first time, this protocol ensures that the resources needed for reliable communication climb at a reasonable, controllable rate while the number of quantifiable properties of a quantum state grows rapidly. A computationally insoluble problem becomes a useful engineering challenge with this achievement.

Strategy Against Noise: Unequal Error Protection

The second, equally essential STT-UEP protocol innovation is strategic use of Unequal Error Protection (UEP). Communication via loud classical channels always involves errors. UEP is great since it recognises that transmitted data are not equal.

Research discovered that errors in the random measurement bases that describe how the sender measured the quantum state are more worse for the final reconstruction than errors in the measurement results. Statistical noise from inaccuracies in results is often decreased by averaging. However, a measurement basis error allows the receiver to misinterpret what was measured, which could lead to fatal state reconstruction errors.

Thus, the STT-UEP protocol purposely corrects encoded measurement bases more than measurement outcomes, which may not be protected. This customised and prioritised protection ensures the integrity of the most important data without the high overhead of protecting all transmitted data equally and excessively, greatly increasing the reliability of quantum communication in noise. The properties the receiver plans to measure have no effect on this encoding method.

Making Quantum Future Possible

STT-UEP was demonstrated using theoretical analysis and numerical simulations, creating a reliable and resource-efficient quantum information communication architecture. Comparing the protocol to conventional shadow tomography and state vector quantisation with equal error protection showed its superior performance.

It immediately affects several key quantum technology areas:

Distributed Quantum Computing: STT-UEP joins specialised quantum processors via classical links to communicate essential local quantum state data.

Quantum Sensing Systems: Distributed sensing networks, where sensors exchange measurement data to create a single image, will benefit from logarithmic communication overhead.

The Quantum Internet: The protocol creates a reliable route for communicating quantum state attributes over noisy infrastructure, extending the design for a scalable quantum internet.

A research team created a novel architecture to accelerate quantum processing while maintaining accuracy and scalability, paving the way for powerful, fault-tolerant quantum computers. The revolutionary Shuttling-based Distributed Quantum Computing (SDQC) technique combines distributed computing with the benefits of physically movable qubits.

Junki Kim, Seunghyun Baek, Seok-Hyung Lee, and Dongmoon Min of Sungkyunkwan University made the groundbreaking finding, which offers a simple way to scale out quantum processors without losing computing speed. Researchers show that SDQC outperforms current distributed quantum computing methods in tough computational problems like the 256-bit elliptic-curve discrete logarithm problem, with lower error rates and faster clock speeds.

Vital Quantum Scalability Issue

Quantum computing's promise to do complex tasks tenfold quicker than conventional computers has been tempered by the architectural difficulty of scalability. Quantum systems are built on qubits. They are notoriously sensitive and require maximum precision and isolation.

Small-scale quantum computers have shown “quantum advantage” on certain, esoteric problems, but scaling these systems up to thousands or millions of physical qubits to solve useful, industrially relevant problems like simulating complex molecules or factoring large numbers has been difficult. Current architectures, such as those based on superconducting circuits, trapped ions, or photonic systems, must choose between adding qubits and decreasing coherence or requiring complex, non-local entanglement operations that slow down the system.

In Distributed Quantum Computing (DQC), smaller, high-fidelity quantum modules are connected like a classical supercomputer network to produce a larger, more powerful processor. Quantum information entanglement and distribution across faraway units has been a technical challenge.

SDQC: Deterministic Performance Hybrid Architecture

SDQC addresses scaling by using a hybrid technique that easily integrates deterministic physical movement or shuttling of ion qubits into an advanced networked environment. Trapped-ion systems, famed for their long coherence durations and great fidelity, encode quantum information within ions' intrinsic electronic states. Ions are spatially contained by finely regulated electromagnetic potentials, often forming a linear Coulomb crystal. The ability to move trapped ions accurately and deterministically distinguishes SDQC from earlier technologies.

To perform complex quantum circuits, SDQC distributes entangled ion qubits using a specified shuttling technique. This approach achieves all-to-all connection among distributed units, enabling non-local quantum operations at unprecedented speeds.

The architecture's success is due to two mechanisms, say researchers:

Asynchronous Entanglement Distribution: This innovative technique prevents the time cost of producing entangled pairs of qubits from linearly increasing with system size, ensuring scale-independent performance.

By transporting entangled qubits with high fidelity and precision, the architecture dramatically decreases transport and operation mistakes. Entangled actions have 99.97% faithfulness.

Speed and error rate benchmarks prove the advantage

The team compared the SDQC architecture against top models for the 256-bit elliptic-curve discrete logarithm problem, one of cryptography's hardest computing problems. Solving this problem required simulating a 2,871-logical-qubit system at a coding distance of 13.

Logical qubits, error-corrected structures made from many physical qubits, allow accurate calculations despite quantum hardware's noise and fragility, making them vital for real quantum computing.

Result: revolutionary productivity improvement. SDQC technology had a 2.82-times quicker logical clock than QCCD trapped-ion architecture. A complex quantum algorithm may now be run in less than half the time, which will speed up problem-solving.

SDQC was also noise-resistant. Measured logical error rates were similar to Photonic Distributed Quantum Computing (DQC) systems and substantially lower than QCCD architectures. Outstanding performance of large-scale logical qubits is attributed to high fidelity in low-level processes, including state preparation and measurement errors as low as 10−6.

Fault-tolerant engineering

The study team optimised computational parallelism and constructed a durable architecture utilising cutting-edge engineering methods. A comprehensive quantum error correction framework protects delicate quantum information from decoherence and noise.

Using pipelining was crucial. Similar to an assembly line, pipelining allows concurrent compute, entanglement distribution, and measuring, maximising resource utilisation and computational throughput. This methodical design created a system that can solve resource-intensive problems like the elliptic-curve discrete logarithm problem with only a slight increase in physical space cost after a lower execution time and higher success rate than previous scalable trapped-ion architectures.

The Future: Non-Clifford Operations and Universality

A major step towards usable quantum computation was reached with the SDQC architecture demonstration. Academics are already considering 100% fault tolerance as the next frontier. Future work will focus on rendering the design fault-tolerant for non-Clifford processes. Gates are necessary for computational universality in complex algorithms.

Reliable magic state preparation must be created and integrated to synthesise these powerful but resource-intensive quantum processes fault-tolerantly. The team also plans to examine co-optimization possibilities between different quantum error correction algorithms and the SDQC architecture to optimise software-hardware performance.

CUNQA Emulates HPC Distributed Quantum Computing, Enabling Scalable Hybrid Architectures

As the search for powerful quantum computers continues, researchers are focussing on Distributed Quantum Computing (DQC) by connecting several quantum processors. After realising that these processors will initially act as accelerators in HPC environments, CESGA and the University of Santiago de Compostela founded CUNQA.

The open-source emulator CUNQA was developed to evaluate DQC techniques on existing HPC systems. This strategy lets researchers study programming, architectural, and performance issues before quantum technology is widely available.

Outstanding Emulation

CUNQA is the first HPC tool to accurately mimic all three DQC procedures. These three DQC models are crucial:

No-communication (Embarrassingly Parallel): This method divides quantum tasks classically across many virtual Quantum Processing Units without runtime communication.

The classical distribution of quantum tasks and classical links between vQPUs allow this model to classically regulate an instruction. This allows one QPU to acquire classical information (such a measurement result) from another during execution. This approach is similar to the Iterative Phase Estimation Algorithm (IPEA), which leverages classical communication to reduce the number of ancilla qubits needed compared to QPE.

Quantum communication preserves the classical link while linking QPUs via quantum channels. Pure quantum distribution requires quantum-communication protocols like teledata and telegate. Asymmetric Quantum Networks with Qubit Control can read MIS/MWIS.

Connecting Classical and Quantum Hardware

VQPUs, conventional processes that imitate a real QPU and run on HPC resources, are the foundation of CUNQA. They act as accelerators by taking CPU tasks, executing them, and providing results.

CUNQA supports key hybrid computing integration methods:

QPUs are distinct hardware available across a network, yet they are co-located in the same HPC facility. On-node: Like a GPU accelerator, the QPU is integrated into an HPC node.

Former standalone quantum systems are obsolete due to the accelerator paradigm.

Software architecture in CUNQA puts resource management on the user (out of the middleware). Users can reserve and customise resources, including the number of vQPUs and their maximum availability duration, using SLURM wrappers like qraise to govern their life cycles.

Showing Capability with QPE

The researchers tested the emulator with all three DQC methods using Quantum Phase Estimation (QPE). Each scheme's QPE showed trade-offs:

No-communication (Distribution of Shots): This method parallelises well and reduces simulation time compared to the basic scenario. Acceleration will suffer if distribution and information collection overhead is too high.

Classical-communication (IPEA): Improves the basic case but is slower than optimised no-communication due to synchronisation delays and internal simulator optimisations removed while extracting and modifying gate execution.

Quantum communication -- distributed QPE—had execution speeds two orders of magnitude faster than the basic case. Due to the need to simulate quantum communications tasks in a single executor process and the additional protocols needed to distribute controlled gates, simulation time scales proportionally with vQPUs.

Despite performance variances due to distributed architectural complexity, CUNQA simulated QPE across all models with an estimated phase that matched the theoretical value.

Entanglement of qutrit

New developments enable long-distance quantum internet. Overcoming the fundamental barriers to long-distance quantum communication has brought the promise of a powerful and secure quantum internet closer to reality. A novel quantum repeater architecture using cavity magnons and an innovative qutrit switching protocol was released today to improve the performance and scalability of future quantum networks. By solving signal deterioration and information capacity issues, these advances advance distributed quantum computing and secure key distribution.

Overcoming Quantum Communication Issues

Qubit-based quantum communication is more secure and capable than classical systems. Long-distance quantum networks struggle most with decoherence and photon loss. When quantum information is sent, photons are absorbed or dispersed, causing photon loss. However, decoherence destroys delicate quantum superposition states caused by external interactions, deleting stored data. These events limit quantum information's reliable transmission distance.

The Heisenberg uncertainty principle and no-cloning theorem prevent quantum communication with classical repeaters, which amplify and retransmit signals. Thus, quantum repeaters split long-distance transmission and prolong the quantum state using entanglement switching.

This method “teleports” quantum information by creating entanglement between uninteracting qubits. Effective quantum repeaters require quantum memory that can store qubits while preserving their quantum properties.

A promising new architecture for cavity-magnon repeaters

In a recent paper, Mughees Ahmed Khan and Syed Shahmir from Hamad Bin Khalifa University's Qatar Centre for Quantum Computing, M. Talha Rahim, Saif Al-Kuwari, Tasawar Abbas, and colleagues propose a cavity magnon-based quantum repeater design. Magnons represent collective spin waves in magnetic materials. Magnons' unique properties enable superconducting qubit entanglement in this manner.

Key advantages of this cavity-magnon system:

Multiplexing entangled qubit pairs across a single channel requires precise magnon frequency adjustment. Spectral multiplexing boosts network capacity and throughput like dense wavelength division multiplexing (DWDM) in fibre optic networks.

Magnonic systems need longer coherence times to preserve quantum state sensitivity.

Better Coupling: Carefully built cavities improve coupling and entanglement creation and transfer between superconducting qubits and magnons.

Numerical simulations with actual parameters have indicated that this cavity-magnon repeater design is possible at different network scales, suggesting that it may outperform trapped ions or atomic ensembles in quantum memory. These systems have certain integration advantages that could simplify the construction and operation of complex quantum networks and current telecommunications networks. Scaling the system to larger network sizes, building more durable magnonic quantum memory, and empirically confirming these simulations are future research goals.

Increasing Information Capacity with Qutrit Swapping Protocol

Kazufumi Tanji, Hikaru Shimizu, and colleagues from Keio University and the National Institute of Information and Communications Technology developed a new qutrit entanglement switching protocol.

More qudits quantum systems with dimensions larger than two (qutrits are three-dimensional) are being studied to boost information transmission rates and network capacity beyond qubits.

Current high-dimensional entanglement distribution strategies have lower success rates than qubit-based systems. The new protocol addresses this. It does this by employing photon polarisation or path as a mode foundation and an enhanced photon-number encoding approach. This innovative combination increases the chance of entanglement dispersion, a key component of quantum networks.

Key aspects of this qutrit protocol:

Increased Generation

Simulations reveal that this qutrit protocol generates entanglement faster than two-photon detection methods, especially when photon generation is restricted. The protocol outperforms two-photon detection-based qubit protocols when photon generation probability is less than 0.7.

Imperfection-Withstanding

Despite realistic experimental constraints such photon loss during transmission and threshold detector limits, the protocol maintains high fidelity, a measure of quantum state precision. Under significant photon loss, reducing photon generation probability retains outstanding fidelity for genuine photon sources like SPDC and atomic systems.

Generalisability

The interferometer structure can be changed to encode time-bins and paths.

This study enables the building of more powerful and safe quantum networks for distributed quantum computing and data transfer. Integrating this protocol with quantum repeater systems, decreasing decoherence, and scaling it to higher-dimensional qudits are future goals.

A Scalable Quantum Internet

Excerpt from PDF: QuGStep: Refining Step Size Selection in Gradient Estimation for Variational Quantum Algorithms Senwei Liang,1, a) Linghua Zhu,2, a) Xiaosong Li,2, b) and Chao Yang1, b) 1)Lawrence Berkeley National Laboratory, Berkeley, CA 94720, U.S.A 2)Department of Chemistry, University of Washington, Seattle, WA 98195, U.S.A (Dated: 19 March 2025) Variational quantum algorithms (VQAs) offer…