Category: Paper

Illya Shapoval, Vincent Paul Su, Wibe de Jong, Miro Urbanek, and Brian Swingle,

Quantum 7, 1138 (2023).

The holographic principle and its realization in the AdS/CFT correspondence led to unexpected connections between general relativity and quantum information. This set the stage for studying…

Tyler D. Ellison, Yu-An Chen, Arpit Dua, Wilbur Shirley, Nathanan Tantivasadakarn, and Dominic J. Williamson,

Quantum 7, 1137 (2023).

We construct Pauli topological subsystem codes characterized by arbitrary two-dimensional Abelian anyon theories–this includes anyon theories with degenerate braiding relations and those wit…

Zhiyan Ding and Lin Lin,

Quantum 7, 1136 (2023).

We introduce a multi-modal, multi-level quantum complex exponential least squares (MM-QCELS) method to simultaneously estimate multiple eigenvalues of a quantum Hamiltonian on early fault-to…

Andrea Aiello,

Quantum 7, 1135 (2023).

One of the most puzzling consequences of interpreting quantum mechanics in terms of concepts borrowed from classical physics, is the so-called wave-particle duality. Usually, wave-particle d…

Beata Zjawin, David Schmid, Matty J. Hoban, and Ana Belén Sainz,

Quantum 7, 1134 (2023).

When two parties, Alice and Bob, share correlated quantum systems and Alice performs local measurements, Alice's updated description of Bob's state can provide evidence of nonclassical corre…

Chris Cade, Marten Folkertsma, Ido Niesen, and Jordi Weggemans,

Quantum 7, 1133 (2023).

Run-times of quantum algorithms are often studied via an asymptotic, worst-case analysis. Whilst useful, such a comparison can often fall short: it is not uncommon for algorithms with a larg…

Alessandro Sinibaldi, Clemens Giuliani, Giuseppe Carleo, and Filippo Vicentini,

Quantum 7, 1131 (2023).

We analyze the accuracy and sample complexity of variational Monte Carlo approaches to simulate the dynamics of many-body quantum systems classically. By systematically studying the relevant…

André Melo, Nathan Earnest-Noble, and Francesco Tacchino,

Quantum 7, 1130 (2023).

Quantum machine learning algorithms based on parameterized quantum circuits are promising candidates for near-term quantum advantage. Although these algorithms are compatible with the curren…

Hannah Lange, Matjaž Kebrič, Maximilian Buser, Ulrich Schollwöck, Fabian Grusdt, and Annabelle Bohrdt,

Quantum 7, 1129 (2023).

Recently, tremendous progress has been made in the field of quantum science and technologies: different platforms for quantum simulation as well as quantum computing, ranging from supercondu…

Matteo Lostaglio, Alessio Belenchia, Amikam Levy, Santiago Hernández-Gómez, Nicole Fabbri, and Stefano Gherardini,

Quantum 7, 1128 (2023).

Recent work has revealed the central role played by the Kirkwood-Dirac quasiprobability (KDQ) as a tool to properly account for non-classical features in the context of condensed matter phys…

Xi-Ning Zhuang, Zhao-Yun Chen, Cheng Xue, Yu-Chun Wu, and Guo-Ping Guo,

Quantum 7, 1127 (2023).

Modeling stochastic phenomena in continuous time is an essential yet challenging problem. Analytic solutions are often unavailable, and numerical methods can be prohibitively time-consuming…

Filipa C. R. Peres and Ernesto F. Galvão,

Quantum 7, 1126 (2023).

Pauli-based computation (PBC) is driven by a sequence of adaptively chosen, non-destructive measurements of Pauli observables. Any quantum circuit written in terms of the Clifford+$T$ gate set…

Dario De Santis,

Quantum 7, 1124 (2023).

Non-Markovian dynamics are characterized by information backflows, where the evolving open quantum system retrieves part of the information previously lost in the environment. Hence, the ver…