Resources

Author(s): Theerapat Tansuwannont and Debbie Leung The notion of a “distinguishable fault set” is developed and applied to considerably reduce the number of ancillas required for fault-tolerant quantum computation on a capped color code while also generalizing the concept of fault-tolerant gadgets. [PRX Quantum 3, 030322] Published Thu Aug 11, 2022

Author(s): Adrian Chapman, Steven T. Flammia, and Alicia J. Kollár Graph-theoretic tools are used to investigate a class of error-correcting codes with exactly solvable behavior. [PRX Quantum 3, 030321] Published Wed Aug 10, 2022

Author(s): Jianxin Chen, Dawei Ding, and Cupjin Huang A universal framework for randomized benchmarking is presented, greatly expanding its applicability to more general distributions of gates. [PRX Quantum 3, 030320] Published Tue Aug 09, 2022

Author(s): Michael Vasmer and Aleksander Kubica A versatile procedure that can be used to generate new quantum error correction codes from existing codes is presented. [PRX Quantum 3, 030319] Published Mon Aug 08, 2022

Author(s): Long B. Nguyen, Gerwin Koolstra, Yosep Kim, Alexis Morvan, Trevor Chistolini, Shraddha Singh, Konstantin N. Nesterov, Christian Jünger, Larry Chen, Zahra Pedramrazi, Bradley K. Mitchell, John Mark Kreikebaum, Shruti Puri, David I. Santiago, and Irfan Siddiqi A fault-tolerant quantum computation hardware based on superconducting qubits is explored, and a guide for upcoming experimental efforts is laid out. [PRX Quantum 3, 037001]...

Author(s): Roman Stricker, Davide Vodola, Alexander Erhard, Lukas Postler, Michael Meth, Martin Ringbauer, Philipp Schindler, Rainer Blatt, Markus Müller, and Thomas Monz A complete toolbox for the tomographic characterization of generic instruments is experimentally applied to detect qubit loss and leakage, offering in-depth information about the failure modes that degrade quantum error correction. [PRX Quantum 3, 030318] Published Wed Aug...

Author(s): Daoheng Niu, Reza Haghshenas, Yuxuan Zhang, Michael Foss-Feig, Garnet Kin-Lic Chan, and Andrew C. Potter A quantum tensor network method is introduced to approximately compute the properties of interacting many-electron models, reducing the quantum memory size required to simulate complex materials and molecules and shortening the computation time. [PRX Quantum 3, 030317] Published Tue Aug 02, 2022