Resources

Publications

  • Quantum Computational Complexity of Matrix Functions

    Author(s): Santiago Cifuentes, Samson Wang, Thais L. Silva, Mario Berta, and Leandro Aolita The complexity of different parameter regimes in matrix function problems is characterized, providing new insights into where quantum advantage may be possible. [PRX Quantum 7, 020364] Published Thu Jun 18, 2026

  • Spectral Stability of Cavity-Enhanced Single-Photon Emitters in Silicon

    Author(s): Johannes Früh, Fabian Salamon, Andreas Gritsch, Alexander Ulanowski, and Andreas Reiserer Single, cavity-coupled erbium emitters in silicon enable insights into the origins of spectral instability and decoherence, with applications in quantum networking and computation. [PRX Quantum 7, 020363] Published Wed Jun 17, 2026

  • Provable Quantum Speedups for Computing Persistence in Topological Data Analysis

    Author(s): Casper Gyurik, Alexander Schmidhuber, Robbie King, Vedran Dunjko, and Ryu Hayakawa A quantum algorithm achieving exponential speedup for a topological data analysis problem is proposed, potentially driving new practical applications in quantum computing. [PRX Quantum 7, 020361] Published Tue Jun 16, 2026

  • Programmable Quantum Matter: Heralding Large Cluster States in Driven Inhomogeneous Spin Ensembles

    Author(s): Pratyush Anand, Louis Follet, Odiel Hooybergs, and Dirk R. Englund A control framework for heterogeneous solid-state spin emitters enables high-fidelity global operations and scalable optically heralded entanglement with O(1) experimental overhead across 10–100 qubits. [PRX Quantum 7, 020362] Published Tue Jun 16, 2026

  • Grand Challenge of Quantum Applications

    Author(s): Ryan Babbush, Robbie King, Sergio Boixo, William Huggins, Tanuj Khattar, Guang Hao Low, Jarrod R. McClean, Thomas O’Brien, and Nicholas C. Rubin A proposed five-stage framework outlines the path to useful quantum computing, detailing the scientific milestones required to bridge the gap between theory and real-world utility. [PRX Quantum 7, 020101] Published Mon Jun 15, 2026

  • Multidimensional Quantum Estimation and Model Learning Framework Based on Variational Bayesian Inference

    Author(s): Federico Belliardo, Erik M. Gauger, Mohamed H. Abobeih, Tim H. Taminiau, Yoann Altmann, and Cristian Bonato Variational Bayesian inference enables fast, scalable joint model selection and parameter estimation in high-dimensional quantum systems, accurately identifying unknown spin environments and supporting real-time adaptive measurement strategies. [PRX Quantum 7, 020360] Published Mon Jun 15, 2026

  • Loading and Imaging Atom Arrays via Electromagnetically Induced Transparency

    Author(s): Emily H. Qiu, Tamara Šumarac, Peiran Niu, Shai Tsesses, Fadi Wassaf, David C. Spierings, Meng-Wei Chen, Mehmet T. Uysal, Audrey Bartlett, Adrian J. Menssen, Mikhail D. Lukin, and Vladan Vuletić Electromagnetically induced transparency unlocks high-fidelity, nondestructive imaging and loading of continuously operated neutral-atom arrays in finite magnetic fields. [PRX Quantum 7, 020358] Published Fri Jun 12, 2026
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