Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Circuit-level fault tolerance of cat codes
Long D. H. My, Shu-Fen Qin, Hui Khoon Ng·Jun 6, 2024
Bosonic codes encode quantum information into a single infinite-dimensional physical system endowed with error correction capabilities. This reduces the need for complex management of many physical constituents compared with standard approaches emplo...
Leakage mobility in superconducting qubits as a leakage reduction unit
Joan Camps, Ophelia Crawford, G. P. Gehér +3 more·Jun 6, 2024
Leakage from the computational subspace is a damaging source of noise that degrades the performance of most qubit types. Unlike other types of noise, leakage cannot be overcome by standard quantum error correction techniques and requires dedicated le...
A comprehensive study of quantum arithmetic circuits
Siyi Wang, Xiufan Li, Wei Jie Bryan Lee +3 more·Jun 6, 2024
In recent decades, the field of quantum computing has experienced remarkable progress. This progress is marked by the superior performance of many quantum algorithms compared with their classical counterparts, with Shor’s algorithm serving as a promi...
Complementary Polynomials in Quantum Signal Processing
B. Berntson, Christoph Sünderhauf·Jun 6, 2024
Quantum signal processing is a framework for implementing polynomial functions on quantum computers. To implement a given polynomial P, one must first construct a corresponding complementary polynomialQ. Existing approaches to this problem employ num...
Path Integral Monte Carlo Simulation of Superfluid Ring Lattices
Orjan Ameye·Jun 6, 2024
The goal of this work is to lay the groundwork to construct and characterize a quantum device; which we refer to as a superfluid ring lattice; that could serve as a multi-qubit system in the future. Accordingly, a mathematical framework, called the I...
iTrust: Trust-Region Optimisation with Ising Machines
Sayantan Pramanik, Kaumudibikash Goswami, Sourav Chatterjee +1 more·Jun 6, 2024
In this work, we present a heretofore unseen application of Ising machines to perform trust region-based optimisation with box constraints. This is done by considering a specific form of opto-electronic oscillator-based coherent Ising machines with c...
Robust preparation of ground state phases under noisy imaginary time evolution
Aleksei Khindanov, Yongxin Yao, T. Iadecola·Jun 6, 2024
Nonunitary state preparation protocols such as imaginary time evolution (ITE) offer substantial advantages relative to unitary ones, including the ability to prepare certain long-range correlated states more efficiently. Here, we ask whether such pro...
Quixer: A Quantum Transformer Model
Nikhil Khatri, Gabriel Matos, Luuk Coopmans +1 more·Jun 6, 2024
Progress in the realisation of reliable large-scale quantum computers has motivated research into the design of quantum machine learning models. We present Quixer: a novel quantum transformer model which utilises the Linear Combination of Unitaries a...
Eigenpath traversal by Poisson-distributed phase randomisation
Joseph Cunningham, Jérémie Roland·Jun 6, 2024
We present a framework for quantum computation, similar to Adiabatic Quantum Computation (AQC), that is based on the quantum Zeno effect. By performing randomised dephasing operations at intervals determined by a Poisson process, we are able to track...
Optimal control of linear Gaussian quantum systems via quantum learning control
Yu-Hong Liu, Yexiong Zeng, Qing-Shou Tan +3 more·Jun 6, 2024
Efficiently controlling linear Gaussian quantum (LGQ) systems is a significant task in both the study of fundamental quantum theory and the development of modern quantum technology. Here, we propose a general quantum-learning-control method for optim...
Online learning of quantum processes
Asad Raza, Matthias C. Caro, J. Eisert +1 more·Jun 6, 2024
Among recent insights into learning quantum states, online learning and shadow tomography procedures are notable for their ability to accurately predict expectation values even of adaptively chosen observables. In contrast to the state case, quantum ...
Entangled states are typically incomparable
Vishesh Jain, Matthew Kwan, Marcus Michelen·Jun 5, 2024
Consider a bipartite quantum system, where Alice and Bob jointly possess a pure state $|ψ\rangle$. Using local quantum operations on their respective subsystems, and unlimited classical communication, Alice and Bob may be able to transform $|ψ\rangle...
Simplification of tensor updates toward performance-complexity balanced quantum computer simulation
Koichi Yanagisawa, Tsuyoshi Okubo, Shota Koshikawa +3 more·Jun 5, 2024
Matrix Product States (MPS) provide a powerful framework for simulating quantum circuits. In practical simulations, tensor updates are typically performed in the canonical form (CF), which corresponds to the Schmidt decomposition and improves approxi...
Quantum sensing from gravity as a universal dephasing channel for qubits
Alexander V. Balatsky, P. Roushan, J. Schaltegger +1 more·Jun 5, 2024
We investigate the interaction of a transmon qubit with a classical gravitational field. Exploiting the generic phenomena of the gravitational redshift and Aharonov-Bohm phase, we show that entangled quantum states dephase with a universal rate. The ...
Leveraging off-the-shelf silicon chips for quantum computing
J. Michniewicz, M. Kim·Jun 5, 2024
There is a growing demand for quantum computing across various sectors, including finance, materials, and studying chemical reactions. A promising implementation involves semiconductor qubits utilizing quantum dots within transistors. While academic ...
The Focked-up ZX Calculus: Picturing Continuous-Variable Quantum Computation
R. A. Shaikh, Lia Yeh, S. Gogioso·Jun 5, 2024
While the ZX and ZW calculi have been effective as graphical reasoning tools for finite-dimensional quantum computation, the possibilities for continuous-variable quantum computation (CVQC) in infinite-dimensional Hilbert space are only beginning to ...
Heisenberg-Limited Adaptive Gradient Estimation for Multiple Observables
Kaito Wada, Naoki Yamamoto, Nobuyuki Yoshioka·Jun 5, 2024
In quantum mechanics, measuring the expectation value of a general observable has an inherent statistical uncertainty that is quantified by variance or mean squared error of measurement outcome. While the uncertainty can be reduced by averaging sever...
Determination of optimal chain coupling made by embedding in D-wave quantum annealer
Hayun Park, Hunpyo Lee·Jun 5, 2024
The qubits in a D-wave quantum annealer (D-wave QA) are designed on a Pegasus graph that is different from the structure of a combinatorial optimization problem. This situation requires embedding with the chains connected by ferromagnetic coupling Jc...
Rethinking Programming Paradigms in the QC-HPC Context
S. Caíno-Lores, Daniel Claudino, Eugene Dumitrescu +3 more·Jun 5, 2024
Programming for today's quantum computers is making significant strides toward modern workflows compatible with high performance computing (HPC), but fundamental challenges still remain in the integration of these vastly different technologies. Quant...
Automated Verification of Silq Quantum Programs using SMT Solvers
Marco Lewis, Paolo Zuliani, Sadegh Soudjani·Jun 5, 2024
We present SilVer (Silq Verification), an automated tool for verifying behaviors of quantum programs written in Silq, which is a high-level programming language for quantum computing. The goal of the verification is to ensure correctness of the Silq ...