Papers
Live trends in quantum computing research, updated daily from arXiv.
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A Case for Quantum Circuit Cutting for NISQ Applications: Impact of topology, determinism, and sparsity
Zirui Li, Minghao Guo, Mayank Barad +3 more·Dec 23, 2024
We make the case that variational algorithm ansatzes for near-term quantum computing are well-suited for the quantum circuit cutting strategy. Previous demonstrations of circuit cutting focused on the exponential execution and postprocessing costs du...
Classical simulability of Clifford+T circuits with Clifford-augmented matrix product states
Zejun Liu, Bryan K. Clark·Dec 23, 2024
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 quantum cir...
Variational Quantum Simulation of Anyonic Chains
Ananda Roy·Dec 23, 2024
Anyonic chains provide lattice realizations of a rich set of quantum field theories in two space-time dimensions. The latter play a central role in the investigation of generalized symmetries, renormalization group flows and numerous exotic phases of...
Hiding, Shuffling, and Cycle Finding: Quantum Algorithms on Edge Lists
Amin Shiraz Gilani, Daochen Wang, Pei Wu +1 more·Dec 23, 2024
The edge list model is arguably the simplest input model for graphs, where the graph is specified by a list of its edges. In this model, we study the quantum query complexity of three variants of the triangle finding problem. The first asks whether t...
Distribution-Adaptive Dynamic Shot Optimization for Variational Quantum Algorithms
Youngmin Kim, Enhyeok Jang, Hyungseok Kim +6 more·Dec 23, 2024
Variational quantum algorithms (VQAs) have attracted remarkable interest over the past few years because of their potential computational advantages on near-term quantum devices. They leverage a hybrid approach that integrates classical and quantum c...
Quantum Approximate Optimisation Applied to Graph Similarity
Nicholas J. Pritchard·Dec 23, 2024
Quantum computing promises solutions to classically difficult and new-found problems through controlling the subtleties of quantum computing. The Quantum Approximate Optimisation Algorithm (QAOA) is a recently proposed quantum algorithm designed to t...
Lindblad engineering for quantum Gibbs state preparation under the eigenstate thermalization hypothesis
Eric Brunner, Luuk Coopmans, Gabriel Matos +5 more·Dec 23, 2024
Building upon recent progress in Lindblad engineering for quantum Gibbs state preparation algorithms, we propose a simplified protocol that is shown to be efficient under the eigenstate thermalization hypothesis (ETH). The ETH reduces circuit overhea...
Quantum Time-Series Learning with Evolutionary Algorithms
Vignesh Anantharamakrishnan, M. M. Taddei·Dec 23, 2024
Variational quantum circuits have arisen as an important method in quantum computing. A crucial step of it is parameter optimization, which is typically tackled through gradient-descent techniques. We advantageously explore instead the use of evoluti...
A dynamical algebra of protocol-induced transformations on Dicke states
Pierre-Antoine Bernard, L. Vinet·Dec 23, 2024
Quantum $n$-qubit states that are totally symmetric under the permutation of qubits are essential ingredients of important algorithms and applications in quantum information. Consequently, there is significant interest in developing methods to prepar...
The quantum super-Krylov method
Adam Byrne, William Kirby, Kirk M. Soodhalter +1 more·Dec 23, 2024
The problem of estimating the ground-state energy of a quantum system is ubiquitous in chemistry and condensed matter physics. Krylov quantum diagonalization (KQD) has emerged as a promising approach for this task. However, many KQD methods rely on s...
On-chip frequency-bin quantum photonics
K. Myilswamy, L. Cohen, Suparna Seshadri +2 more·Dec 23, 2024
Abstract Frequency-bin encoding furnishes a compelling pathway for quantum information processing systems compatible with established lightwave infrastructures based on fiber-optic transmission and wavelength-division multiplexing. Yet although signi...
Variational Quantum Generative Modeling by Sampling Expectation Values of Tunable Observables
Kevin Shen, Andrii Kurkin, Adrián Pérez-Salinas +3 more·Dec 22, 2024
Expectation Value Samplers (EVSs) are quantum generative models that can learn high-dimensional continuous distributions by measuring the expectation values of parameterized quantum circuits. However, these models can demand impractical quantum resou...
E-LoQ: Enhanced Locking for Quantum Circuit IP Protection
Yuntao Liu, Jayden John, Qian Wang·Dec 22, 2024
In recent years, quantum computing has started to demonstrate superior efficiency to classical computing. In quantum computing, quantum circuits that implement specific quantum algorithms are usually not directly executable on quantum computer hardwa...
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor
Maida Wang, Jinyang Jiang, Peter V. Coveney·Dec 22, 2024
Quantum machine learning has gained attention for its potential to address computational challenges. However, whether those algorithms can effectively solve practical problems and outperform their classical counterparts, especially on current quantum...
Pseudo Random Number Generator-Based One-Time Signature
Abel C. H. Chen·Dec 22, 2024
With the advancement of quantum computing technologies, there has been increasing focus in recent years on identifying cryptographic methods resilient to quantum attacks and developing post-quantum cryptography (PQC) techniques. Among these, hash-bas...
Dynamic T-decomposition for classical simulation of quantum circuits
Wira Azmoon Ahmad, Matthew Sutcliffe·Dec 22, 2024
It is known that a quantum circuit may be simulated with classical hardware via stabilizer state (T-)decomposition in $O(2^{\alpha t})$ time, given $t$ non-Clifford gates and a decomposition efficiency $\alpha$. The past years have seen a number of p...
Quantum $(r,δ)$-locally recoverable codes
Carlos Galindo, Fernando Hernando, Helena Martín-Cruz +1 more·Dec 21, 2024
Classical $(r,δ)$-locally recoverable codes are designed for avoiding loss of information in large scale distributed and cloud storage systems. We introduce the quantum counterpart of those codes by defining quantum $(r,δ)$-locally recoverable codes ...
Fundamental Thresholds for Computational and Erasure Errors via the Coherent Information
Luis Colmenarez, Seyong Kim, Markus Müller·Dec 21, 2024
Quantum error correcting (QEC) codes protect quantum information against environmental noise. Computational errors caused by the environment change the quantum state within the qubit subspace, whereas quantum erasures correspond to the loss of qubi...
High-rate amplitude-damping Shor codes with immunity to collective coherent errors
En-Jui Chang, Ching-Yi Lai·Dec 21, 2024
We introduce a family of high-rate amplitude-damping (AD) Shor Codes, designed to effectively correct AD errors while maintaining immunity to collective coherent (CC) errors. The proposed $[[(w+1)(w+K), K]]$ AD codes can approximately correct up to $...
Practical learning of multi-time statistics in open quantum systems
Gregory A. L. White, Lloyd C. L. Hollenberg, Charles D. Hill +1 more·Dec 20, 2024
Randomised measurements can efficiently characterise many-body quantum states by learning the expectation values of observables with low Pauli weights. In this paper, we generalise the theoretical tools of classical shadow tomography to the temporal ...