Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Anomaly Detection for Real-World Cyber-Physical Security Using Quantum Hybrid Support Vector Machines
Tyler Cultice, Md. Saif Hassan Onim, A. Giani +1 more·Jul 1, 2024
Cyber-physical control systems are critical infrastructures designed around highly responsive feedback loops that are measured and manipulated by hundreds of sensors and controllers. Anomalous data, such as from cyber-attacks, greatly risk the safety...
Implementation of a scalable universal two-qubit quantum processor with electron and nuclear spins in a trapped ion
Ji Bian, Teng Liu, Qifeng Lao +5 more·Jul 1, 2024
Increasing the quantum information processing power with limited number of hosts is vital for achieving quantum advantage. Here we propose a novel scheme that achieves a scalable n-ion-2n-qubit quantum processor utilizing four internal levels of each...
Simulating the non-Hermitian dynamics of financial option pricing with quantum computers
Swagat Kumar, C. Wilmott·Jul 1, 2024
The Schrödinger equation describes how quantum states evolve according to the Hamiltonian of the system. For physical systems, we have it that the Hamiltonian must be a Hermitian operator to ensure unitary dynamics. For anti-Hermitian Hamiltonians, t...
Multi-target quantum compilation algorithm
Vu Tuan Hai, Nguyen Tan Viet, Jesus Urbaneja +3 more·Jul 1, 2024
Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, including gate optimization, quantum-assisted compiling, quantum state prepara...
Two exact quantum signal processing results
B. Berntson, Christoph Sünderhauf·Jul 1, 2024
Quantum signal processing (QSP) is a framework for implementing certain polynomial functions via quantum circuits. To construct a QSP circuit, one needs (i) a target polynomial <tex>$P$</tex> (<tex>$z$</tex>), which must satisfy <tex>$\vert P (z) \ve...
Adaptive Variational Quantum Computing Approaches for Green's Functions and Nonlinear Susceptibilities.
M. Mootz, T. Iadecola, Yongxin Yao·Jul 1, 2024
We present and benchmark quantum computing approaches for calculating real-time single-particle Green's functions and nonlinear susceptibilities of Hamiltonian systems. The approaches leverage adaptive variational quantum algorithms for state prepara...
Ground and excited state energy calculations of the H2 molecule using a variational quantum eigensolver algorithm on an NMR quantum simulator
Dileep Singh, Shashank G. Mehendale, Arvind +1 more·Jul 1, 2024
Variational quantum algorithms are emerging as promising candidates for near-term practical applications of quantum information processors, in the field of quantum chemistry. We implement the variational quantum eigensolver algorithm to calculate the...
European Quantum ecOsystems — Preparing the Industry for the Quantum Security and Communications Revolution
N. Farrugia, Daniel Bonanno, Nicholas Frendo +11 more·Jul 1, 2024
There is mounting evidence that a second quantum revolution based on the technological capabilities to detect and manipulate single quantum particles (e.g., electrons, photons, ions, etc), a feat not achieved during the first quantum revolution, is p...
Quantum State Preparation via Free Binary Decision Diagram
Yu Tanaka, H. Yamasaki, M. Murao·Jul 1, 2024
Quantum state preparation (QSP) is a fundamental task in quantum computation to prepare a quantum state for a given classical description of the quantum state. The classical description of an $n$-qubit quantum state may have $\exp(O(n))$ parameters i...
On the Continuity of Schur-Horn Mapping
Hengzhun Chen, Yingzhou Li·Jun 30, 2024
The Schur-Horn theorem is a well-known result that characterizes the relationship between the diagonal elements and eigenvalues of a symmetric (Hermitian) matrix. In this paper, we extend this theorem by exploring the eigenvalue perturbation of a sym...
Distributed quantum computing across an optical network link
D. Main, P. Drmota, D. P. Nadlinger +6 more·Jun 30, 2024
Distributed quantum computing (DQC) combines the computing power of multiple networked quantum processing modules, ideally enabling the execution of large quantum circuits without compromising performance or qubit connectivity1,2. Photonic networks a...
Quantum State Transfer via a Multimode Resonator.
Yang He, Yu-Xiang Zhang·Jun 30, 2024
Large-scale fault-tolerant superconducting quantum computation needs rapid quantum communication to network qubits fabricated on different chips and long-range couplers to implement efficient quantum error correction codes. Quantum channels used for ...
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects
G. Yan, Wenjie Wu, Yuheng Chen +6 more·Jun 30, 2024
Quantum computing is a promising paradigm that may overcome the current computational power bottlenecks. The increasing maturity of quantum processors provides more possibilities for the development and implementation of quantum algorithms. As the cr...
Reducing Quantum Error Correction Overhead With Versatile Flag-Sharing Syndrome Extraction Circuits
Pei-Hao Liou, Ching-Yi Lai·Jun 30, 2024
Given that quantum error correction processes are unreliable, an efficient error syndrome extraction circuit should use fewer ancillary qubits, quantum gates, and measurements while maintaining low circuit depth, to minimize the circuit area, roughly...
Achieving Energetic Superiority Through System-Level Quantum Circuit Simulation
Rong Fu, Zhongling Su, Han-Sen Zhong +11 more·Jun 30, 2024
Quantum Computational Superiority boasts rapid computation and high energy efficiency. Despite recent advances in classical algorithms aimed at refuting the milestone claim of Google's sycamore, challenges remain in generating uncorrelated samples of...
Hybrid quantum-classical clustering for preparing a prior distribution of eigenspectrum
Mengzhen Ren, Yu-Cheng Chen, Ching-Jui Lai +2 more·Jun 29, 2024
Determining the energy gap in a quantum many-body system is critical to understanding its behavior and is important in quantum chemistry and condensed matter physics. The challenge of determining the energy gap requires identifying both the excited a...
qCLUE: a quantum clustering algorithm for multi-dimensional datasets
Dhruv Gopalakrishnan, Luca Dellantonio, A. Pilato +3 more·Jun 29, 2024
Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has become apparent that they face challenges stemming ...
Quantum algorithms for weighted constrained sampling and weighted model counting
Fabrizio Riguzzi·Jun 29, 2024
We consider the problems of weighted constrained sampling and weighted model counting, where we are given a propositional formula and a weight for each world. The first problem consists of sampling worlds with a probability proportional to their weig...
Batch Entanglement Detection in Parameterized Qubit States using Classical Bandit Algorithms
K. Bharati, Vikesh Siddhu, Krishna Jagannathan·Jun 28, 2024
Entanglement is a key property of quantum states that acts as a resource for a wide range of tasks in quantum computing. Entanglement detection is a key conceptual and practical challenge. Without adaptive or joint measurements, entanglement detectio...
Determination of the current-phase relation of an InAs 2DEG Josephson junction with a microwave resonator
Zoltán Scherübl, Máté Sütő, Dávid Kóti +10 more·Jun 28, 2024
Semiconductor-superconductor hybrid nanocircuits are of high interest because of their potential applications in quantum computing. Semiconductors with strong spin-orbit coupling and large g factor are particularly attractive since they are the basic...