Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Improving Quantum and Classical Decomposition Methods for Vehicle Routing
Laura S. Herzog, Friedrich Wagner, Christian Ufrecht +4 more·Apr 8, 2024
Quantum computing is a promising technology to address combinatorial optimization problems, for example via the quantum approximate optimization algorithm (QAOA). Its potential, however, hinges on scaling toy problems to sizes relevant for industry. ...
Distributing Arbitrary Quantum Graph States by Graph Transformation
Tingxiang Ji, Jianqing Liu, Zheshen Zhang·Apr 8, 2024
Quantum graph state is a special class of nonlocal state among multiple quantum particles, underpinning several nonclassical and promising applications such as quantum computing and quantum secret sharing. Recently, establishing quantum graph states ...
Quasiparton distributions in massive QED2: Toward quantum computation
S. Grieninger, Kazuki Ikeda, Ismail Zahed·Apr 8, 2024
We analyze the quasiparton distributions of the lightest η′ meson in massive two-dimensional quantum electrodynamics (QED2) by exact diagonalization. The Hamiltonian and boost operators are mapped onto spin qubits in a spatial lattice with open bound...
Hamiltonian learning using machine-learning models trained with continuous measurements
Kris Tucker, Amit Kiran Rege, Conor Smith +2 more·Apr 8, 2024
We build upon recent work on using Machine Learning models to estimate Hamiltonian parameters using continuous weak measurement of qubits as input. We consider two settings for the training of our model: (1) supervised learning where the weak measure...
Single-qubit rotation algorithm with logarithmic Toffoli count and gate depth
Christoffer Hindlycke, Jan-AAke Larsson·Apr 8, 2024
Building generic gates from a restricted gate set is a difficult but important problem, especially in the noisy regime where only a limited set of noise-resistant gates are available, e.g., fault-tolerant Clifford gates (generated by Hadamard, phase,...
Towards Optimal Circuit Size for Sparse Quantum State Preparation
Rui Mao, Guojing Tian, Xiaoming Sun·Apr 8, 2024
Compared to general quantum states, the sparse states arise more frequently in the field of quantum computation. In this work, we consider the preparation for $n$-qubit sparse quantum states with $s$ non-zero amplitudes and propose two algorithms. Th...
Quantum fault trees and minimal cut sets identification
Gabriel San Martín Silva, Enrique L'opez Droguett·Apr 8, 2024
Fault Trees represent an essential tool in the reliability and risk assessment of engineering systems. By decomposing the structure of the system into Boolean function, Fault Trees allow the quantitative and qualitative analysis of the system. One of...
Mapping indefinite causal order processes to composable quantum protocols in a spacetime
Matthias Salzger, V. Vilasini·Apr 8, 2024
Formalisms for higher order quantum processes provide a theoretical formalisation of quantum processes where the order of agents’ operations need not be definite and acyclic, but may be subject to quantum superpositions. This has led to the concept o...
Quantum optimization with linear Ising penalty functions for customer data science
Puya Mirkarimi, Ishaan Shukla, David C. Hoyle +2 more·Apr 8, 2024
Constrained combinatorial optimization problems, which are ubiquitous in industry, can be solved by quantum algorithms such as quantum annealing (QA) and the quantum approximate optimization algorithm (QAOA). In these quantum algorithms, constraints ...
Quantum Optimization Methods for Satellite Mission Planning
A. Makarov, Carlos P'erez-Herrad'on, Giacomo Franceschetto +5 more·Apr 8, 2024
Satellite mission planning for Earth observation satellites is a combinatorial optimization problem that consists of selecting the optimal subset of imaging requests, subject to constraints, to be fulfilled during an orbit pass of a satellite. The ev...
Ground State Preparation via Dynamical Cooling
Danial Motlagh, Modjtaba Shokrian Zini, J. Arrazola +1 more·Apr 8, 2024
Quantum algorithms for probing ground-state properties of quantum systems require good initial states. Projection-based methods such as eigenvalue filtering rely on inputs that have a significant overlap with the low-energy subspace, which can be cha...
Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms
Manuel Schnaus, Lilly Palackal, Benedikt Poggel +4 more·Apr 8, 2024
Routing problems are a common optimization problem in industrial applications, which occur on a large scale in supply chain planning. Due to classical limitations for solving NP-hard problems, quantum computing hopes to improve upon speed or solution...
Efficient Gradient Estimation for Parameterized Quantum Systems with Lie Algebraic Symmetries
Mohsen Heidari, Masih Mozakka, Wojciech Szpankowski·Apr 7, 2024
Gradient estimation is a central challenge in training parameterized quantum circuits (PQCs) for hybrid quantum-classical optimization and learning problems. This difficulty arises from several factors, including the exponential dimensionality of the...
Portable diamond maser with reduced magnetic field through orientation
Wern Ng, Yongqiang Wen, N. Alford +1 more·Apr 7, 2024
Masers have the potential to transform medical sensing and boost qubit readout detection due to their superb low-noise amplification. The negatively-charged nitrogen vacancy (NV-) diamond maser is the only continuous-wave solid-state maser discovered...
Comparative Study of Quantum-Circuit Scalability in a Financial Problem
Jaewoong Heo, Moonjoo Lee·Apr 7, 2024
Quantum computer is extensively used in solving financial problems. Quantum amplitude estimation, an algorithm that aims to estimate the amplitude of a given quantum state, can be utilized to determine the expectation value of bonds as the logic intr...
Feedback-Based Quantum Algorithm for Excited States Calculation
Salahuddin Abdul Rahman, Özkan Karabacak, Rafal Wisniewski·Apr 6, 2024
Recently, feedback-based quantum algorithms have been introduced to calculate the ground states of Hamiltonians, inspired by quantum Lyapunov control theory. This paper aims to generalize these algorithms to the problem of calculating an eigenstate o...
Geodesics for mixed quantum states via their geometric mean operator
P. Alsing, C. Cafaro, Shannon Ray·Apr 5, 2024
We examine the geodesic between two mixed states of arbitrary dimension by means of their geometric mean operator. We utilize the fiber bundle approach by which the distance between two mixed state density operators $\rho_1$ and $\rho_2$ in the base ...
Assessing the feasibility of quantum learning algorithms for noisy linear problems
Minkyu Kim, Panjin Kim·Apr 5, 2024
Quantum algorithms for solving noisy linear problems are reexamined, under the same assumptions taken from the existing literature. The findings of this work include on the one hand extended applicability of the quantum Fourier transform to the ring ...
A no-go result for pure state synthesis in the DQC1 model
Zachary Stier·Apr 5, 2024
We study the problem of state synthesis in the DQC1 (One Clean Qubit) model of quantum computation, which provides a single pure qubit and $n$ maximally mixed qubits, and after applying any quantum circuit some subset of the qubits are measured or di...
Digital quantum simulation of cavity quantum electrodynamics: insights from superconducting and trapped ion quantum testbeds
Alex H. Rubin, Brian Marinelli, Victoria A. Norman +15 more·Apr 5, 2024
We explore the potential for hybrid development of quantum hardware where currently available quantum computers simulate open cavity quantum electrodynamical (CQED) systems for applications in optical quantum communication, simulation and computing. ...