Numerical Implementation of Just-In-Time Decoding in Novel Lattice Slices Through the Three-Dimensional Surface Code

T. R. Scruby, D. E. Browne, P. Webster, and M. Vasmer,

Quantum 6, 721 (2022).

We build on recent work by B. Brown (Sci. Adv. 6, eaay4929 (2020)) to develop and simulate an explicit recipe for a just-in-time decoding scheme in three 3D surface codes, which can be used…

Andrea Skolik, Sofiene Jerbi, and Vedran Dunjko,

Quantum 6, 720 (2022).

Quantum machine learning (QML) has been identified as one of the key fields that could reap advantages from near-term quantum devices, next to optimization and quantum chemistry. Research in…

V. Yu. Shishkov, E. S. Andrianov, and Yu. E. Lozovik,

Quantum 6, 719 (2022).

The theoretical description of non-equilibrium Bose–Einstein condensate (BEC) is one of the main challenges in modern statistical physics and kinetics. The non-equilibrium nature of BEC make…

Mariami Gachechiladze, Bartłomiej Bąk, Marcin Pawłowski, and Nikolai Miklin,

Quantum 6, 717 (2022).

In a Bell test, the set of observed probability distributions complying with the principle of local realism is fully characterized by Bell inequalities. Quantum theory allows for a violation…

Debarshi Das, Ananda G. Maity, Debashis Saha, and A. S. Majumdar,

Quantum 6, 716 (2022).

Certification of quantum devices received from unknown providers is a primary requirement before utilizing the devices for any information processing task. Here, we establish a protocol for…

Sarah Jansen, Kenneth Goodenough, Sébastian de Bone, Dion Gijswijt, and David Elkouss,

Quantum 6, 715 (2022).

Entanglement distillation is an essential building block in quantum communication protocols. Here, we study the class of near-term implementable distillation protocols that use bilocal Cliff…

Naeimeh Mohseni, Thomas Fösel, Lingzhen Guo, Carlos Navarrete-Benlloch, and Florian Marquardt,

Quantum 6, 714 (2022).

Neural networks have emerged as a powerful way to approach many practical problems in quantum physics. In this work, we illustrate the power of deep learning to predict the dynamics of a qua…

John B. DeBrota and Peter J. Love,

Quantum 6, 713 (2022).

We describe a general approach to modeling rational decision-making agents who adopt either quantum or classical mechanics based on the Quantum Bayesian (QBist) approach to quantum theory. W…

Sven Jandura and Guido Pupillo,

Quantum 6, 712 (2022).

We identify time-optimal laser pulses to implement the controlled-Z gate and its three qubit generalization, the C$_2$Z gate, for Rydberg atoms in the blockade regime. Pulses are optimized usi…

Trevor Vincent, Lee J. O’Riordan, Mikhail Andrenkov, Jack Brown, Nathan Killoran, Haoyu Qi, and Ish Dhand,

Quantum 6, 709 (2022).

We introduce a new open-source software library $Jet$, which uses task-based parallelism to obtain speed-ups in classical tensor-network simulations of quantum circuits. These speed-ups result…

Paul Appel, Alexander J. Heilman, Ezekiel W. Wertz, David W. Lyons, Marcus Huber, Matej Pivoluska, and Giuseppe Vitagliano,

Quantum 6, 708 (2022).

We introduce finite-function-encoding (FFE) states which encode arbitrary $d$-valued logic functions, i.e., multivariate functions over the ring of integers modulo $d$, and investigate some of t…

Charles H. Baldwin, Karl Mayer, Natalie C. Brown, Ciarán Ryan-Anderson, and David Hayes,

Quantum 6, 707 (2022).

The quantum volume test is a full-system benchmark for quantum computers that is sensitive to qubit number, fidelity, connectivity, and other quantities believed to be important in building…

Gian Giacomo Guerreschi,

Quantum 6, 706 (2022).

Classical simulators play a major role in the development and benchmark of quantum algorithms and practically any software framework for quantum computation provides the option of running th…