Resources

Author(s): Slawomir Simbierowicz, Massimo Borrelli, Volodymyr Monarkha, Ville Nuutinen, and Russell E. Lake Combined experimental and theoretical results provide novel insights into how power is radiated to a superconducting quantum processor. [PRX Quantum 5, 030302] Published Tue Jul 02, 2024

Author(s): Josias Langbehn, Kyrylo Snizhko, Igor Gornyi, Giovanna Morigi, Yuval Gefen, and Christiane P. Koch A novel theoretical approach shows that sometimes a local fridge, realized via a set of detector qubits coupled to a single link of a many-body system, is sufficient to cool into the system’s ground state. [PRX Quantum 5, 030301] Published Mon Jul 01, 2024

Author(s): Danial Motlagh and Nathan Wiebe The class of functions that can be used in quantum signal processing is expanded, providing new tools for quantum algorithm development. [PRX Quantum 5, 020368] Published Fri Jun 28, 2024

Author(s): Marco Fanizza, Yihui Quek, and Matteo Rosati A statistical learning theory, based on empirical risk minimization and a generalization of shadow tomography, is developed for learning processes that map a classical input to a quantum output. [PRX Quantum 5, 020367] Published Thu Jun 27, 2024

Author(s): Philippe Lewalle, Yipei Zhang, and K. Birgitta Whaley Measurement-driven control can optimally use the Zeno effect to realize robust and rapid quantum state transfer. [PRX Quantum 5, 020366] Published Wed Jun 26, 2024

Author(s): Hadi Yarloo, Hua-Chen Zhang, and Anne E. B. Nielsen Novel results show that many-body scars are suitable for adiabatic evolution despite the absence of energy gaps. [PRX Quantum 5, 020365] Published Mon Jun 24, 2024

Author(s): Saeed A. Khan, Ryan Kaufman, Boris Mesits, Michael Hatridge, and Hakan E. Türeci A machine-learning approach to readout of general quantum systems improves real-time processing of measurement data by adapting to complex quantum noise conditions. [PRX Quantum 5, 020364] Published Fri Jun 21, 2024