DGX Quantum is alive! The groundbreaking solution to interconnect OPX1000 quantum controller and GPU/CPU classical resources, co-developed by NVIDIA and Quantum Machines, is used for a live demonstration executing reinforcement learning for calibrating parameters of a Rigetti superconducting processor.
At Dell’s booth during SC24, Burns Healy (Director of Quantum Technologies at Dell Technologies), Nic Harrigan (Developer Relations Manager for Quantum at NVIDIA), and Gilad Ben-Shach (Director of Strategy and Partnerships at Quantum Machines) delivered a presentation on how the three companies collaborate.
Charting the Course to Industrial Scale Quantum Computing
How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities
This in-depth paper is a significant contribution to the field, bringing together insights from leaders in quantum computing, high-performance computing (HPC), and semiconductor technology.
Benchmarking the ability of a controller to execute quantum error corrected non-Clifford circuits.
This paper defines critical benchmarks and control system requirements for implementing QEC, addressing challenges like low-latency feedback, high-fidelity gates, and scalability.
Controller-decoder system requirements derived by implementing Shor's algorithm with surface code.
This paper analyzes the requirements for a combined controller-decoder system needed to implement Shor's algorithm on a surface code-based fault-tolerant quantum computer.
Quantum Machines is proud to support leading researchers in accelerating their quantum research! In 2024 alone, 35 new scientific papers from leading customer labs worldwide were published in high-impact peer-reviewed journals. This brings the total of QM-enabled scientific works to 77. Below, we highlight a selection of four papers from that showcase the capabilities of Quantum Machines' technology. These studies utilize the processor-based OPX quantum control platform, renowned for its unmatched real-time processing and intuitive programming.
von Lüpke, U., Rodrigues, I.C., Yang, Y. et al. Engineering multimode interactions in circuit quantum acoustodynamics. Nat. Phys. 20, 564–570 (2024).
Tanttu, T., Lim, W.H., Huang, J.Y. et al.Assessment of the errors of high-fidelity two-qubit gates in silicon quantum dots. Nat. Phys. 20, 1804–1809 (2024).
Pita-Vidal, M., Wesdorp, J.J., Splitthoff, L.J. et al. Strong tunable coupling between two distant superconducting spin qubits. Nat. Phys. 20, 1158–1163 (2024).
Réglade, U., Bocquet, A., Gautier, R. et al. Quantum control of a cat qubit with bit-flip times exceeding ten seconds. Nature 629, 778–783 (2024).
This blog post dives into Google’s recent milestone in quantum error correction, which demonstrates tangible progress toward fault-tolerant quantum computing.
Innovative research from Prof. Gheorghe-Sorin Paraoanu's lab at Aalto University, Finland, where a novel phase-modulating approach to qubit control is introduced.
Online seminar (registration opens soon) - Feb 11: Cavity-enabled real-time observation of individual atomic collisions - Feb 19: How to Build a Quantum Supercomputer - Scaling Challenges and Opportunities
Looking back at AQC24
Held in beautiful Cape Cod USA and organized by Quantum Machines Adaptive Quantum Circuits 2024 set a new precedent as the first conference dedicated to adaptive quantum circuits, highlighting the close collaboration between academia and industry in shaping the future of quantum computing. The event brought together pioneering academics such as Mark Saffman, Mike Freedman, and Charlie Marcus, alongside industry leaders like Pedram Roushan and Michel Devoret (Google Quantum AI), Blake Johnson (IBM), and contributors from AWS, Rigetti, and others. This conference bridged research and real-world applications, offering a unique platform for dialogue between academic pioneers and industry innovators. Stay tune for Quantum Machines events in 2025.
