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Magic, or nonstabilizerness, characterizes the deviation of a quantum state from the set of stabilizer states and plays a fundamental role from quantum state complexity to universal fault-tolerant quantum computing. However, analytical or…

量子物理 · 物理学 2024-05-22 Junjie Chen , Yuxuan Yan , You Zhou

Simulating quantum circuits classically is an important area of research in quantum information, with applications in computational complexity and validation of quantum devices. One of the state-of-the-art simulators, that of Bravyi et al,…

量子物理 · 物理学 2019-08-07 Hammam Qassim , Joel J. Wallman , Joseph Emerson

In this work, we investigate the average information scrambling and nonlocal magic generation properties of random Clifford encoding-decoding circuits perturbed by local noise. We quantify these with the bipartite algebraic out-of-time…

量子物理 · 物理学 2025-09-26 Emanuel Dallas , Paolo Zanardi

A central problem in quantum information is to determine the minimal physical resources that are required for quantum computational speedup and, in particular, for fault-tolerant quantum computation. We establish a remarkable connection…

量子物理 · 物理学 2012-11-30 Victor Veitch , Christopher Ferrie , David Gross , Joseph Emerson

Classical simulation of quantum circuits plays a crucial role in validating quantum hardware and delineating the boundaries of quantum advantage. Among the most effective simulation techniques are those based on the stabilizer extent, which…

量子物理 · 物理学 2025-10-23 Giulio Camillo , Filipa C. R. Peres , Markus Heinrich , Juani Bermejo-Vega

Determining the quantum-classical boundary between quantum circuits which can be efficiently simulated classically and those which cannot remains a fundamental question. One approach to classical simulation is to represent the output of a…

量子物理 · 物理学 2026-05-06 Zejun Liu , Bryan K. Clark

Nonstabilizerness, or magic, constitutes a fundamental resource for quantum computation and a crucial ingredient for quantum advantage. Recent progress has substantially advanced the characterization of magic in many-body quantum systems,…

量子物理 · 物理学 2026-04-02 Somnath Maity , Ryusuke Hamazaki

Stabilizer states along with Clifford manipulations (unitary transformations and measurements) thereof -- despite being efficiently simulable on a classical computer -- are an important tool in quantum information processing, with…

量子物理 · 物理学 2026-03-27 Ashlesha Patil , Saikat Guha

Clifford circuits are insufficient for universal quantum computation or creating $t$-designs with $t\ge 4$. While the entanglement entropy is not a telltale of this insufficiency, the entanglement spectrum is: the entanglement levels are…

统计力学 · 物理学 2020-12-17 Shiyu Zhou , Zhi-Cheng Yang , Alioscia Hamma , Claudio Chamon

We construct a polynomial-time classical algorithm that samples from the output distribution of noisy geometrically local Clifford circuits with any product-state input and single-qubit measurements in any basis. Our results apply to…

量子物理 · 物理学 2026-01-09 Jon Nelson , Joel Rajakumar , Dominik Hangleiter , Michael J. Gullans

We propose a new family of error detecting stabilizer codes with an encoding rate 1/3 that permit a transversal implementation of the pi/8-rotation $T$ on all logical qubits. The new codes are used to construct protocols for distilling…

量子物理 · 物理学 2012-11-30 Sergey Bravyi , Jeongwan Haah

We investigate the emergence of quantum chaos and unitary T-design behavior in derandomized Clifford+T circuits using causal cover architectures. Motivated by the need for deterministic constructions that can exhibit chaotic behavior across…

量子物理 · 物理学 2025-12-03 Asim Sharma , Avah Banerjee

An important question of quantum information is to characterize genuinely quantum (beyond-Clifford) resources necessary for universal quantum computing. Here, we use the Pauli spectrum to quantify how magic, beyond Clifford, typical…

量子物理 · 物理学 2025-03-03 Xhek Turkeshi , Anatoly Dymarsky , Piotr Sierant

This thesis discusses the young fields of quantum pseudo-randomness and quantum learning algorithms. We present techniques for derandomising algorithms to decrease randomness resource requirements and improve efficiency. One key object in…

量子物理 · 物理学 2010-06-29 Richard A. Low

Magic-state resource theory is a fundamental framework with far-reaching applications in quantum error correction and the classical simulation of quantum systems. Recent advances have significantly deepened our understanding of magic as a…

量子物理 · 物理学 2026-04-15 Lennart Bittel , Lorenzo Leone

In this paper, we study the problem of learning an unknown quantum circuit of a certain structure. If the unknown target is an $n$-qubit Clifford circuit, we devise an efficient algorithm to reconstruct its circuit representation by using…

量子物理 · 物理学 2022-06-29 Ching-Yi Lai , Hao-Chung Cheng

Recent years have enjoyed a strong interest in exploring properties and applications of random quantum circuits. In this work, we explore the ensemble of $t$-doped Clifford circuits on $n$ qubits, consisting of Clifford circuits…

量子物理 · 物理学 2026-05-06 Lorenzo Leone , Salvatore F. E. Oliviero , Alioscia Hamma , Jens Eisert , Lennart Bittel

In this work we improve the runtime of recent classical algorithms for strong simulation of quantum circuits composed of Clifford and T gates. The improvement is obtained by establishing a new upper bound on the stabilizer rank of $m$…

量子物理 · 物理学 2021-12-22 Hammam Qassim , Hakop Pashayan , David Gosset

We introduce the Iterative Clifford Circuit Renormalization (ICCR), a novel technique designed to efficiently handle the dynamics of non-stabilizerness (a.k.a. quantum magic) in generic quantum circuits. ICCR iteratively adjusts the…

量子物理 · 物理学 2024-12-04 Alessio Paviglianiti , Guglielmo Lami , Mario Collura , Alessandro Silva

It has recently been discovered that random quantum circuits provide an avenue to realize rich entanglement phase diagrams, which are hidden to standard expectation values of operators. Here we study (2+1)D random circuits with random…

统计力学 · 物理学 2021-12-03 Ali Lavasani , Yahya Alavirad , Maissam Barkeshli