Welcome to the Quantum Realm. 

Enjoy today’s breakdown of news, research, events & jobs within quantum.

I love to hear from you! Send me a message at [email protected] for musings, for fun, or for insight if it so appeals to you.

IN TODAY’S ISSUE:

Tags: QUANTUM CLOUD COLLABORATION INFRASTRUCTURE  FUNDING QUANTUM NETWORKS QUANTUM METROLOGY QML

• IQM Quantum Computers' 20-qubit QPU, IQM Garnet, is now available on Amazon Braket for cloud-based high-fidelity quantum computing

• Illinois House passes bill that will contribute to a quantum computing campus and extend tax credits

• A study presents a scalable solution for entanglement distribution within crossbar quantum networks.

• New research optimizes quantum-enhanced Bayesian multiparameter estimation under noisy conditions for practical sensors

• A method for optimizing hardware selection for quantum machine learning workloads that reduces training wait times

• Plus, co-founder of Nvidia donates $75 million to transform Hudson Valley into "Quantum Valley,” IBM’s collaborative working groups are pushing ahead quantum algorithm development, the FERROMON project is designing scalable superconducting qubits, and Terra Quantum AG advances secure quantum-resistant communication.

Check out NEW POLLS!

BRIEF BYTES

NEWS FOR THOSE IN A HURRY

• Curtis Priem, co-founder of Nvidia, is set on transforming New York's Hudson Valley into "Quantum Valley" with a $75 million donation to Rensselaer Polytechnic Institute for an IBM-made quantum computer. While this would drive economic growth, the area’s affordable housing market could see significant price increases as tech jobs attract new residents and businesses.

• IBM and collaborators have launched five working groups focused on developing quantum algorithms in these areas: healthcare & life sciences, materials science, high energy physics, optimization, and sustainability. Each group regularly meets to address problems, identify state-of-the-art solutions, and explore where quantum computing can offer advantages.

  The groups have started releasing white papers and forming research collaborations to explore quantum computing's potential in their respective fields.

• The FERROMON project is supported by the EU's Pathfinder program and is dedicated to designing superconducting qubits with better scalability by using ferromagnetic Josephson junctions and semiconducting nanowire junctions. This approach addresses issues in current superconducting circuits, such as connectivity, gate fidelity, and qubit stability.

• Terra Quantum AG implemented the QCKD protocol over a 1707 km fiber line demonstrating control over signal losses and non-orthogonality of leaked states to limit eavesdroppers in a new published study that advances secure quantum-resistant communication.

• Researchers at Delft University of Technology demonstrated strong and tunable coupling between two distant Andreev spin qubits by combining superconducting and semiconductor properties. This allows qubits to couple over long distances which creates a positive outlook on the potential performance of quantum computers. Future research will extend this approach to more qubits and improve coherence times by using cleaner semiconductor materials.

• The UK's National Quantum Computing Centre prioritizes skills development for the future quantum workforce through summer schools, doctoral training, upskilling opportunities, and interactive courses. Additionally, events like the Quantum Hackathon provide practical experience to help participants understand and apply quantum technology in real-world scenarios.

TOP HEADLINES IN NEWS & RESEARCH

NEWS

Tags: QUANTUM CLOUD COLLABORATION

IQM GARNET NOW ON AMAZON BRAKET

BRIEF BYTE:  IQM Quantum Computers has made its 20-qubit quantum processing unit, IQM Garnet, available on Amazon Braket, allowing researchers to access high-fidelity quantum computing resources through the cloud.

WHAT HAPPENED: 

• Users can now access IQM Garnet through a self-service, on-demand model or reserve dedicated access via Braket Direct.

• The QPU is hosted in the AWS Europe (Stockholm) region which makes it the first QPU available to AWS customers within the EU.

• IQM Garnet features a square lattice topology with high connectivity, median two-qubit gate fidelity of 99.51%, and maximum fidelity reaching 99.8%.

WHY IS THIS IMPORTANT:

• This availability allows researchers and developers to explore quantum computing more conveniently through the cloud, leaning on the high-fidelity and connectivity of IQM Garnet to improve algorithm performance as well as facilitate advanced research in quantum optimization, simulation, and machine learning across various fields.

• By hosting the QPU in the EU, Amazon Braket addresses important data residency requirements by allowing European researchers to be in compliance with local regulations.

NEWS

Tags: INFRASTRUCTURE  FUNDING

ILLINOIS HOUSE OF REPS PASSES BILL FOR HALF A BILLION TOWARDS QUANTUM JOBS

BRIEF BYTE: Illinois House passes bill to create an enterprise zone for tech companies and strengthen Illinois' position in emerging industries, including quantum.

WHAT HAPPENED: 

• The Illinois House passed a bill to encourage the development of a quantum computing campus, with plans to create an enterprise zone and invest half a billion dollars.

• The University of Illinois is emphasizing quantum technology, and manufacturers are supportive, seeing potential for breakthroughs in medicine, energy, and cybersecurity. But, some lawmakers argue the state should focus more on supporting existing small businesses rather than offering extensive incentives to attract new companies.

• The package includes tax credits for electric vehicle makers, microchip producers, and a renewed Research and Development tax credit.

WHY IS THIS IMPORTANT:

• Attracting quantum computing and other high-tech industries is expected to drive major technological advancements and economic growth in Illinois. Renewing tax incentives provides stability for businesses which encourages long-term investment and development within the state.

RESEARCH

Tags: QUANTUM NETWORKS 

OVERVIEW OF OPTIMAL AND SCALABLE ENTANGLEMENT DISTRIBUTION OVER CROSSBAR QUANTUM NETWORKS

BRIEF BYTE: This study presents a solution for distributing entanglement efficiently within crossbar quantum networks.

WHY: 

• Efficient and reliable distribution of entanglement is key for the development of scalable quantum networks.

• Previous methods of entanglement distribution often faced challenges with fidelity loss over long distances and scalability issues. This study introduces a crossbar network topology to address these issues, providing a non-blocking, minimal latency solution that is scalable for large quantum networks.

HOW: 

• The study begins with designing a crossbar network topology suitable for quantum entanglement distribution, where any input can be connected to any output without interference.

• An algorithm is developed for selecting optimal entanglement distribution configurations. This algorithm considers various factors, such as minimizing the travel distance of photons to reduce fidelity loss and ensuring non-blocking communication.

• Extensive simulations are performed on different crossbar network sizes (i.e. 2x2, 3x3, up to 10x10) to evaluate the scalability and efficiency of the proposed method.

• Key performance metrics include the success rate of entanglement distribution, fidelity of the entangled states, and the computational complexity of the algorithm.

RESULTS: 

• The proposed algorithm successfully identifies optimal configurations for entanglement distribution in crossbar networks.

• Simulation results show that smaller crossbar network can be used as building blocks for larger, multi-stage interconnection networks.

• The proposed method lays the groundwork for the development of scalable quantum interconnection networks and suggest that future research could explore multi-stage networks and the use of quantum memories.

RESEARCH

Tags: QUANTUM METROLOGY 

OVERVIEW OF OPTIMIZING QUANTUM-ENHANCED BAYESIAN MULTIPARAMETER ESTIMATION OF PHASE AND NOISE IN PRACTICAL SENSORS

BRIEF BYTE: The study investigates optimizing quantum-enhanced Bayesian multiparameter estimation in scenarios with practical sensors affected by noise.

WHY: 

• This research addresses practical challenges in quantum metrology where noise and limited resources are significant concerns. It differentiates from previous methods by applying a Bayesian framework to optimize multiparameter estimation, extending beyond single-parameter scenarios, and demonstrating improved precision under noisy conditions.

HOW: 

• Single photons are generated via spontaneous parametric down-conversion in a Sagnac configuration. One photon is sent through the apparatus, and the other acts as a trigger.

• Rotation and polarization measurements are taken with photons passing through a series of q plates and half-wave plates.

• The algorithm updates the posterior distribution of parameters based on measurement outcomes and selects the next optimal measurement setting.

RESULTS: 

• This methodology effectively demonstrated resource optimization and showed that even with visibilities as nuisance parameters, the Bayesian approach maintains estimation precision.

PREPRINT

Tags: QML

OVERVIEW OF QUALITI: QUANTUM MACHINE LEARNING HARDWARE SELECTION FOR INFERENCING WITH TOP-TIER PERFORMANCE

BRIEF BYTE: The study investigates the impact of hardware selection on the performance of quantum machine learning workloads with a focus on maximizing inferencing performance while also minimizing training wait time.

WHY: 

• Practical implementation of QML is hindered by noise, long access queues, and the need for iterative training. This study addresses these challenges by optimizing hardware selection.

• Unlike previous methods that primarily rely on local simulators or single hardware for training, this study leverages multiple hardware configurations to reduce wait times and mitigate noise. The introduced methodology combines configurational analysis with multi-hardware training to achieve superior inferencing performance with minimal degradation.

HOW: 

• The study uses noisy simulators for 20, 27, and 127 qubit hardware and selects topologically diverse 8-qubit coupling maps for training to ensure varied interaction patterns.

• Configurations are scored based on coherence times, error rates, and transpilation depth. Individual scores are combined into a weighted final score to rank hardware configurations. Configurations from different hardware are selected to avoid long queue times.

• QNN models are trained using the top configurations from each hardware type to balance training load and performance.

RESULTS: 

• The 27-qubit hardware showed the best performance, followed by the 20-qubit and 127-qubit hardware.

• Significant reductions in training wait times were observed by switching from hardware with long queues to those with shorter queues.

• The methodology was successfully scaled to larger datasets like a reduced Cifar-10 dataset to demonstrate the applicability to more complex tasks.

EVENTS

• Tuesday, May 28 | Results w/ QuEra “Resilient Networks: Quantum Solutions Using Neutral Atoms for Optical Fiber Optimization in Telecommunication

• Now - May 31 | Register for Google/X-Prize Quantum Challenge

• Wednesday, June 5 | Quant Insights Conference: Quantum Computing in Quant Finance 

• Thursday, June 6 | QaaS w/ Quantonix

JOBS POSTED WITHIN LAST 24 HOURS

• Microsoft Research Intern - Quantum Information and Computation | Redmond, WA (Hybrid) $80.2K - $158.8K

• Microsoft Senior Quantum Simulation Engineer | Santa Barbara, CA (Hybrid) $112K - $238.6K

• Microsoft Senior Quantum Surface Chemist Engineer | Redmond, WA (Hybrid) $112K - 238.6K

• Google Research Scientist, System Optimization and Stability, Quantum AI | Los Angeles, CA $136K -$200K

• Google Hardware Lab Generalist, Electronics Packaging, Quantum AI | Goleta, CA $81K - $119K

• JPMorgan Chase & Co. Quantum Computing Research Scientist - Vice President | New York, NY

• JPMorgan Chase & Co. Applied Research Scientist - Quantum-inspired and Randomized Algorithms - Executive Director | New York, NY

• JPMorgan Chase & Co. Applied Research Scientist - Quantum-inspired and Randomized Algorithms - Sr. Associate | New York, NY

• JPMorgan Chase & Co. Quantum Computing Research Scientist - Executive Director | New York, NY

• JPMorgan Chase & Co. Quantum Computing Research Scientist - Sr. Associate | New York, NY

• Simplex Board Member - Enterprise Cybersecurity/Quantum Cryptography | Austin, TX (Hybrid)

• Simplex Board Member - Enterprise Cybersecurity/Quantum Cryptography | Remote

• Los Alamos National Laboratory Quantum Computer Scientist | Los Alamos, NM $90K - $164.1K

• MITRE Quantum Technologist | McLean, VA

• Phasecraft Quantum Algorithms Scientist | Washington, D.C. (Hybrid)

• HRL Laboratories, LLC Software Engineer, Quantum Programming | Malibu, CA $120.7K - $150.9k

• HRL Laboratories, LLC Quantum Device Modeling Engineer | Malibu, CA $76.5K - $93.3K

• HRL Laboratories, LLC Theoretical Quantum Information Scientist | Malibu, CA $132.8K - $166K

• HRL Laboratories, LLC Quantum Technology Intern - Undergrad | Malibu, CA $22/hr - $35/hr

• HRL Laboratories, LLC Quantum Technology Intern - Masters | Malibu, CA $35/hr - $50/hr

• HRL Laboratories, LLC Quantum Technology Intern - Doctor | Malibu, CA $50/hr - $55/hr

• HRL Laboratories, LLC Quantum Physicist | Malibu, CA $132.8K - $166K

• IonQ Staff Quantum Error Correction Engineer | Seattle, WA (Hybrid) $153K - $200.3K

• SandboxAQ Solutions Architect | Remote

• SandboxAQ Scientific Business Development Senior Manager - BioSim | remote

UNTIL TOMORROW.

SUPPORT SCIENCE

Waking up before the world to dive into the quantum realm isn't just our job—it's our calling. And we're dreaming big with exclusive content for our community. If our work lights up your day, consider showing some love. Your support unlocks worlds—seen and unseen.

Interested in collaboration or promoting your company, product, job, or event to the quantum computing community? Reach out to us at [email protected]