High-fidelity two-qubit gates are achieved with heavy-fluxonium qubits, circuits that break many conventional superconducting circuit paradigms, bringing more diversity for quantum applications.

As quantum computing transitions into the fault-tolerant regime, understanding how best to utilize available architectures becomes paramount.

A pedagogical hands-on guide to quantum master equations and their numerical implementations, tailored to newcomers interested in interdisciplinary research.

When determining the authorship list for your next paper, be generous yet disciplined.

The most exciting cutting-edge research submitted from now through December 2024 is eligible for our final selection.

The class of functions that can be used in quantum signal processing is expanded, providing new tools for quantum algorithm development.

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.

Measurement-driven control can optimally use the Zeno effect to realize robust and rapid quantum state transfer.

Novel results show that many-body scars are suitable for adiabatic evolution despite the absence of energy gaps.

A machine-learning approach to readout of general quantum systems improves real-time processing of measurement data by adapting to complex quantum noise conditions.

Enhanced scalability in Yb atom qubit arrays can be achieved by connecting neutral-atom quantum computer modules with high-fidelity entanglement at rates approaching 10${}^5$ Bell pairs per second.

Attend DAMOP Meeting 2024 in Fort Worth in person or virtually. Register before the April 28 early bird deadline. Learn more.

APS has selected 156 Outstanding Referees for 2024 who have demonstrated exceptional work in the assessment of manuscripts published in the Physical Review journals. A full list of the Outstanding Referees is available online.

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