Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Machine learning for efficient generation of universal photonic quantum computing resources
Amanuel Anteneh, Olivier Pfister·Oct 4, 2023
We present numerical simulations of deep reinforcement learning on a measurement-based quantum processor--a time-multiplexed optical circuit sampled by photon-number-resolving detection--and find it generates squeezed cat states with an average succe...
Toward Accurate Post-Born-Oppenheimer Molecular Simulations on Quantum Computers: An Adaptive Variational Eigensolver with Nuclear-Electronic Frozen Natural Orbitals.
A. Nykanen, Aaron Miller, Walter N Talarico +11 more·Oct 2, 2023
Nuclear quantum effects such as zero-point energy and hydrogen tunneling play a central role in many biological and chemical processes. The nuclear-electronic orbital (NEO) approach captures these effects by treating selected nuclei quantum mechanica...
Charge-parity switching effects and optimisation of transmon-qubit design parameters
Miha Papič, J. Tuorila, Adrian Auer +2 more·Sep 29, 2023
Enhancing the performance of noisy quantum processors requires improving our understanding of error mechanisms and the ways to overcome them. A judicious selection of qubit design parameters plays a pivotal role in improving the performance of quantu...
QSETH strikes again: finer quantum lower bounds for lattice problem, strong simulation, hitting set problem, and more
Yanlin Chen, Yilei Chen, Rajendra Kumar +2 more·Sep 28, 2023
While seemingly undesirable, it is not a surprising fact that there are certain problems for which quantum computers offer no computational advantage over their respective classical counterparts. Moreover, there are problems for which there is no `us...
QonFusion - Quantum Approaches to Gaussian Random Variables: Applications in Stable Diffusion and Brownian Motion
Shlomo Kashani·Sep 28, 2023
In the present study, we delineate a strategy focused on non-parametric quantum circuits for the generation of Gaussian random variables (GRVs). This quantum-centric approach serves as a substitute for conventional pseudorandom number generators (PRN...
Dilation theorem via Schr\"odingerisation, with applications to the quantum simulation of differential equations
Junpeng Hu, Shi Jin, Nana Liu +1 more·Sep 28, 2023
Nagy's unitary dilation theorem in operator theory asserts the possibility of dilating a contraction into a unitary operator. When used in quantum computing, its practical implementation primarily relies on block-encoding techniques, based on finite-...
Multi-mode Cavity Centric Architectures for Quantum Simulation
S. Stein, Fei Hua, Chenxu Liu +6 more·Sep 27, 2023
Near-term quantum computing technologies grapple with huge complexity overheads, hindering their ability to induce algorithms, necessitating engineering and scientific innovations. One class of problems of interest is Quantum Simulation, whereby quan...
Entanglement entropy from non-equilibrium lattice simulations
Andrea Bulgarelli, Marco Panero·Sep 27, 2023
Entanglement entropy encodes important features of strongly interacting quantum many-body systems and gauge theories, but its analytical study is still limited to systems with high level of symmetry. This motivates the search for efficient techniques...
Group twirling and noise tailoring for multiqubit controlled phase gates
Guoding Liu, Ziyi Xie, Zitai Xu +1 more·Sep 27, 2023
Group twirling is crucial in quantum information processing, particularly in randomized benchmarking and randomized compiling. While protocols based on Pauli twirling have been effectively crafted to transform arbitrary noise channels into Pauli chan...
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Hao Zhang, Chenghong Zhu, M. Jing +1 more·Sep 26, 2023
Quantum neural networks (QNNs) have been a promising framework in pursuing near-term quantum advantage in various fields, where many applications can be viewed as learning a quantum state that encodes useful data. As a quantum analog of probability d...
Quantum Information Driven Ansatz (QIDA): Shallow-Depth Empirical Quantum Circuits from Quantum Chemistry.
Davide Materia, Leonardo Ratini, Celestino Angeli +1 more·Sep 26, 2023
Hardware-efficient empirical variational ansätze for Variational Quantum Eigensolver (VQE) simulations of quantum chemistry often lack a direct connection to classical quantum chemistry methods. In this work, we propose a method to bridge this gap by...
Resource-efficient generalized quantum subspace expansion
Bo-Jhang Yang, N. Yoshioka, H. Harada +5 more·Sep 25, 2023
Realizing practical quantum computing requires overcoming a number of computation errors and the limitation of device size, which have intensively been tackled by quantum error mitigation (QEM) these days. As a unified approach of noise-agnostic QEM,...
Randomized term grouping over physical law on digital quantum simulation
Songqin Yang·Sep 24, 2023
We introduce a randomized algorithm based on qDrift to compute Hamiltonian dynamics on digital quantum computers. We frame it as physDrift because conservation laws in physics are obeyed during evolution of arbitrary quantum states. Empirically we ac...
An Architecture for Improved Surface Code Connectivity in Neutral Atoms
Joshua Viszlai, S. Lin, Siddharth Dangwal +2 more·Sep 24, 2023
In order to achieve error rates necessary for advantageous quantum algorithms, Quantum Error Correction (QEC) will need to be employed, improving logical qubit fidelity beyond what can be achieved physically. As today's devices begin to scale, co-des...
Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit
Shuxiang Cao, Weixi Zhang, Jules Tilly +9 more·Sep 22, 2023
A qutrit represents a three-level quantum system, so that one qutrit can encode more information than a qubit, which corresponds to a two-level quantum system. This work investigates the potential of qutrit circuits in machine learning classification...
Dynamical subset sampling of quantum error-correcting protocols
Sascha Heußen, Don Winter, M. Rispler +1 more·Sep 22, 2023
Quantum error correcting (QEC) stabilizer codes enable protection of quantum information against errors during storage and processing. Simulation of noisy QEC codes is used to identify the noise parameters necessary for advantageous operation of logi...
Quantum computing perspective for electromagnetic wave propagation in cold magnetized plasmas
E. Koukoutsis, K. Hizanidis, G. Vahala +3 more·Sep 21, 2023
Electromagnetic waves are an inherent part of all plasmas—laboratory fusion plasmas or astrophysical plasmas. The conventional methods for studying properties of electromagnetic waves rely on discretization of Maxwell equations suitable for implement...
Classical combinations of quantum states for solving banded circulant linear systems
Po-Wei Huang, Xiufan Li, Kelvin Koor +1 more·Sep 20, 2023
Solving linear systems is of great importance in numerous fields. Proposed quantum algorithms for preparing solutions for linear systems include the HHL algorithm with subsequent refinements and variational methods. Circulant linear systems appear in...
Reducing hardware requirements for entanglement distribution via joint hardware-protocol optimization
Adrià Labay Mora, Francisco Ferreira da Silva, Stephanie Wehner·Sep 20, 2023
We conduct a numerical investigation of fiber-based entanglement distribution over distances of up to 1600 km using a chain of processing-node quantum repeaters. We determine minimal hardware requirements while simultaneously optimizing over protocol...
Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning
Maxwell T. West, Azar C. Nakhl, J. Heredge +4 more·Sep 18, 2023
Quantum machine learning (QML) is emerging as an application of quantum computing with the potential to deliver quantum advantage, but its realisation for practical applications remains impeded by challenges. Amongst those, a key barrier is the compu...