Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A simple lower bound for the complexity of estimating partition functions on a quantum computer
Zherui Chen, Giacomo Nannicini·Apr 3, 2024
We study the complexity of estimating the partition function $\mathsf{Z}(\beta)=\sum_{x\in\chi} e^{-\beta H(x)}$ for a Gibbs distribution characterized by the Hamiltonian $H(x)$. We provide a simple and natural lower bound for quantum algorithms that...
Efficient Quantum Circuits for Non-Unitary and Unitary Diagonal Operators with Space-Time-Accuracy Trade-Offs
Julien Zylberman, Ugo Nzongani, Andrea Simonetto +1 more·Apr 3, 2024
Unitary and non-unitary diagonal operators are fundamental building blocks in quantum algorithms with applications in the resolution of partial differential equations, Hamiltonian simulations, the loading of classical data on quantum computers (quant...
Scalable quantum detector tomography by high-performance computing
Timon Schapeler, Robert Schade, Michael Lass +2 more·Apr 3, 2024
At large scales, quantum systems may become advantageous over their classical counterparts at performing certain tasks. Developing tools to analyze these systems at the relevant scales, in a manner consistent with quantum mechanics, is therefore crit...
Quantum correlated steady states under competing collective and individual decay
Nikita Leppenen, Ephraim Shahmoon·Apr 2, 2024
Collective dissipation can generate useful quantum correlations, while ubiquitous individual decay destroys them. We study the interplay between these two competing processes considering a driven system of many spins (``atoms") undergoing both collec...
Accurate and precise quantum computation of valence two-neutron systems
S. Yoshida, Takeshi Sato, Takumi Ogata +2 more·Apr 2, 2024
Developing methods to solve nuclear many-body problems with quantum computers is an imperative pursuit within the nuclear physics community. Here, we introduce a quantum algorithm to accurately and precisely compute the ground state of valence two-ne...
Demonstration of logical qubits and repeated error correction with better-than-physical error rates
A. Paetznick, M. P. D. Silva, C. Ryan-Anderson +30 more·Apr 2, 2024
The promise of quantum computers hinges on the ability to scale to large system sizes, e.g., to run quantum computations consisting of more than 100 million operations fault-tolerantly. This in turn requires suppressing errors to levels inversely pro...
Ab initio extended Hubbard model of short polyenes for efficient quantum computing.
Yuichiro Yoshida, Nayuta Takemori, Wataru Mizukami·Apr 2, 2024
We propose introducing an extended Hubbard Hamiltonian derived via the ab initio downfolding method, which was originally formulated for periodic materials, toward efficient quantum computing of molecular electronic structure calculations. By utilizi...
Software-Defined Cryptography: A Design Feature of Cryptographic Agility
Jihoon Cho, Changhoon Lee, Eunkyung Kim +2 more·Apr 2, 2024
Given the widespread use of cryptography in Enterprise IT, migration to post-quantum cryptography (PQC) is not drop-in replacement at all. Cryptographic agility, or crypto-agility, is a design feature that enables seamless updates to new cryptographi...
Photonic quantum walk with ultrafast time-bin encoding
Kate L. Fenwick, Frédéric Bouchard, Duncan England +3 more·Apr 2, 2024
The quantum walk (QW) has proven to be a valuable testbed for fundamental inquiries in quantum technology applications such as quantum simulation and quantum search algorithms. Many benefits have been found by exploring implementations of QWs in vari...
A Kerr kernel quantum learning machine
Carolyn E. Wood, Sally Shrapnel, G. Milburn·Apr 2, 2024
Kernel methods are of current interest in quantum machine learning due to similarities with quantum computing in how they process information in high-dimensional feature (Hilbert) spaces. Kernels are believed to offer particular advantages when they ...
QUSL: Quantum unsupervised image similarity learning with enhanced performance
Lianhui Yu, Xiao-yu Li, Geng Chen +3 more·Apr 2, 2024
Leveraging quantum properties to enhance complex learning tasks has been proven feasible, with excellent recent achievements in the field of unsupervised learning. However, current quantum schemes neglect adaptive adjustments for unsupervised task sc...
Efficient implementation of multicontrolled quantum gates
Ben Zindorf, Sougato Bose·Apr 2, 2024
We present an implementation of multicontrolled () quantum gates that provides significant reductions of cost compared to state-of-the-art methods. The operator applied on the target qubit is a unitary, special unitary, or the Pauli X operator (multi...
No-go theorem for heralded exact one-way key distillation
Vishal Singh, Mark M. Wilde·Apr 1, 2024
The heralded exact one-way distillable secret key is equal to the largest expected rate at which perfect secret key bits can be probabilistically distilled from a bipartite state by means of local operations and one-way classical communication. Here ...
Muon/pion identification at BESIII based on variational quantum classifier
Zhipeng Yao, Xingtao Huang, Teng Li +3 more·Apr 1, 2024
In collider physics experiments, particle identification (PID), i.e., the identification of the charged particle species in the detector is usually one of the most crucial tools in data analysis. In the past decade, machine learning techniques have g...
Device-Independent Quantum Key Distribution Based on Routed Bell Tests
Tristan Le Roy-Deloison, Edwin Peter Lobo, Jef Pauwels +1 more·Apr 1, 2024
Photon losses are the main obstacle to fully photonic implementations of device-independent quantum key distribution (DIQKD). Motivated by recent work showing that routed Bell scenarios offer increased robustness to detection inefficiencies for the c...
Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devices
Purnachandra Mandadapu·Apr 1, 2024
As medium-scale quantum computers progress, the application of quantum algorithms across diverse fields like simulating physical systems, chemistry, optimization, and cryptography becomes more prevalent. However, these quantum computers, known as Noi...
On Strong Bounds for Trotter and Zeno Product Formulas with Bosonic Applications
Tim Möbus·Apr 1, 2024
The Trotter product formula and the quantum Zeno effect are both indispensable tools for constructing time-evolutions using experimentally feasible building blocks. In this work, we discuss assumptions under which quantitative bounds can be proven in...
Quantum circuit scheduler for QPUs usage optimization
J. Romero-Álvarez, J. Alvarado-Valiente, Jorge Casco-Seco +4 more·Apr 1, 2024
Progress in the realm of quantum technologies is paving the way for a multitude of potential applications across different sectors. However, the reduced number of available quantum computers, their technical limitations and the high demand for their ...
Classical modelling of a lossy Gaussian bosonic sampler
M. V. Umanskii, A. N. Rubtsov·Apr 1, 2024
Gaussian boson sampling (GBS) is considered a candidate problem for demonstrating quantum advantage. We propose an algorithm for approximate classical simulation of a lossy GBS instance. The algorithm relies on the Taylor series expansion, and increa...
A case study against QSVT: assessment of quantum phase estimation improved by signal processing techniques
S. Greenaway, W. Pol, Sukin Sim·Apr 1, 2024
In recent years, quantum algorithms have been proposed which use quantum phase estimation (QPE) coherently as a subroutine without measurement. In order to do this effectively, the routine must be able to distinguish eigenstates with success probabil...