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 Feasible Design of Elementary Quantum Arithmetic Logic Units for Near-Term Quantum Computers
Junxu Li·Aug 13, 2024
Quantum arithmetic logic units (QALUs) constitute a fundamental component of quantum computing. However, the implementation of QALUs on near-term quantum computers remains a substantial challenge, largely due to the limited connectivity of qubits. In...
Optimal quantum state tomography with local informationally complete measurements
Casey Jameson, Zhen Qin, Alireza Goldar +3 more·Aug 13, 2024
Quantum state tomography (QST) remains the gold standard for benchmarking and verification of near-term quantum devices. While QST for a generic quantum many-body state requires an exponentially large amount of resources, most physical quantum states...
Adaptive variational quantum dynamics simulations with compressed circuits and fewer measurements
Feng Zhang, Cai-Zhuang Wang, T. Iadecola +2 more·Aug 13, 2024
The adaptive variational quantum dynamics simulation (AVQDS) method performs real-time evolution of quantum states using automatically generated parameterized quantum circuits that often contain substantially fewer gates than Trotter circuits. Here w...
Biased-Noise Thresholds of Zero-Rate Holographic Codes with Tensor-Network Decoding
Junyu Fan, Matthew Steinberg, Alexander Jahn +2 more·Aug 12, 2024
A crucial insight for practical quantum error correction is that different types of errors, such as single-qubit Pauli operators, typically occur with different probabilities. Finding an optimal quantum code under such biased noise is a challenging p...
Stabilizer Entanglement Distillation and Efficient Fault-Tolerant Encoders
Yu Shi, A. Patil, Saikat Guha·Aug 12, 2024
Entanglement is essential for quantum information processing, but is limited by noise. We address this by developing high-yield entanglement distillation protocols with several advancements. (1) We extend the 2-to-1 recurrence entanglement distillati...
Generation of hypercubic cluster states in 1-4 dimensions in a simple optical system
Zhifan Zhou, L. Araujo, M. Dimario +6 more·Aug 12, 2024
Entangled graph states can be used for quantum sensing and computing applications. Error correction in measurement-based quantum computing schemes will require the construction of cluster states in at least 3 dimensions. Here we generate 1-, 2-, 3-, ...
Polynomial-Time Tolerant Testing Stabilizer States
Srinivasan Arunachalam, Arkopal Dutt·Aug 12, 2024
We consider the following task: suppose an algorithm is given copies of an unknown n-qubit quantum state |ψ⟩ promised (i) |ψ⟩ is ε1-close to a stabilizer state in fidelity or (ii) |ψ⟩ is ε2-far from all stabilizer states, decide which is the case. We...
Contextual Subspace Auxiliary-Field Quantum Monte Carlo: Improved Bias with Reduced Quantum Resources.
Matthew Kiser, Matthias Beuerle, F. Šimkovic·Aug 12, 2024
Using trial wave functions prepared on quantum devices to reduce the bias of auxiliary-field quantum Monte Carlo (QC-AFQMC) has established itself as a promising hybrid approach to the simulation of strongly correlated many body systems. Here, we fur...
Three-parameter symmetric quantum joint measurement on two qubits
Ying-Qiu He, Dong Ding, Ting Gao +2 more·Aug 12, 2024
A standard two-qubit joint measurement is the well-known Bell state measurement (BSM), in which each reduced state (traced out one qubit) is the completely mixed state. Recently, a novel quantum joint measurement named elegant joint measurement (EJM)...
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
Andrea Ceschini, Francesco Mauro, Francesca De Falco +7 more·Aug 12, 2024
Quantum Graph Neural Networks (QGNNs) represent a novel fusion of quantum computing and Graph Neural Networks (GNNs), aimed at overcoming the computational and scalability challenges inherent in classical GNNs that are powerful tools for analyzing da...
Out of the Loop: Structural Approximation of Optimisation Landscapes and non-Iterative Quantum Optimisation
Tom Krüger, Wolfgang Mauerer·Aug 12, 2024
The Quantum Approximate Optimisation Algorithm (QAOA) is a widely studied quantum-classical iterative heuristic for combinatorial optimisation. While QAOA targets problems in complexity class NP, the classical optimisation procedure required in every...
Measuring central charge on a universal quantum processor
Nazlı Uğur Köylüoğlu, Swarnadeep Majumder, M. Amico +5 more·Aug 12, 2024
Central charge is a fundamental quantity in conformal field theories (CFT), and plays a crucial role in determining universality classes of critical points in two-dimensional systems. Despite its significance, the measurement of central charge has re...
3-SAT solver for two-way quantum computers
Jarek Duda·Aug 11, 2024
While quantum computers assume existence of state preparation process $|0\rangle$, CPT symmetry of physics says that performing such process in CPT symmetry perspective, e.g. reversing used EM impulses ($V(t)\to V(-t)$), we should get its symmetric a...
Moderate exponential-time quantum dynamic programming across the subsets for scheduling problems
Camille Grange, Michael Poss, E. Bourreau +2 more·Aug 11, 2024
Grover Search is currently one of the main quantum algorithms leading to hybrid quantum-classical methods that reduce the worst-case time complexity for some combinatorial optimization problems. Specifically, the combination of Quantum Minimum Findin...
Optimal Overlapping Tomography
Kiara Hansenne, Rui Qu, Lisa T. Weinbrenner +7 more·Aug 11, 2024
Characterising large-scale quantum systems is central to fundamental physics and essential for applications of quantum technologies. While a full characterisation requires exponentially increasing resources, focusing on application-relevant informati...
SuperEncoder: Towards Universal Neural Approximate Quantum State Preparation
Yilun Zhao, Bingmeng Wang, Wenle Jiang +4 more·Aug 10, 2024
Numerous quantum algorithms operate under the assumption that classical data has already been converted into quantum states, a process termed Quantum State Preparation (QSP). However, achieving precise QSP requires a circuit depth that scales exponen...
Pauli Flow on Open Graphs with Unknown Measurement Labels
Piotr Mitosek·Aug 10, 2024
One-way quantum computation, or measurement-based quantum computation, is a universal model of quantum computation alternative to the circuit model. The computation progresses by measurements of a pre-prepared resource state together with corrections...
Quantum Algorithms for Compositional Text Processing
Tuomas Laakkonen, K. Meichanetzidis, Bob Coecke·Aug 10, 2024
Quantum computing and AI have found a fruitful intersection in the field of natural language processing. We focus on the recently proposed DisCoCirc framework for natural language, and propose a quantum adaptation, QDisCoCirc. This is motivated by a ...
Dynamic Resource Allocation with Quantum Error Detection
Joshua Gao, Ji Liu, A. Gonzales +3 more·Aug 10, 2024
Quantum processing units (QPUs) are highly heterogeneous in terms of physical qubit performance. To add even more complexity, drift in quantum noise landscapes has been well-documented. This makes resource allocation a challenging problem whenever a ...
Efficient Quantum Gradient and Higher-Order Derivative Estimation Via Generalized Hadamard Test
Dantong Li, Dikshant Dulal, Mykhailo Ohorodnikov +2 more·Aug 10, 2024
In the context of Noisy Intermediate-Scale Quantum (NISQ) computing, parameterized quantum circuits (PQCs) are a promising paradigm for quantum sensing, optimal control, optimization, and machine learning on near-term quantum hardware. Gradient-based...