Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Resource-efficient quantum algorithm for linear systems of equations
Francesco Ghisoni, Francesco Scala, Daniele Bajoni +1 more·Sep 13, 2024
Finding the solution to linear systems is at the heart of many applications in science and technology. Over the years a number of algorithms have been proposed to solve this problem on a digital quantum device, yet most of these are too demanding to ...
Variational LOCC-Assisted Quantum Circuits for Long-Range Entangled States.
Yuxuan Yan, Muzhou Ma, You Zhou +1 more·Sep 11, 2024
Long-range entanglement is an important quantum resource, particularly for topological orders and quantum error correction. In reality, preparing long-range entangled states requires a deep unitary circuit, which poses significant experimental challe...
Quantum-Train with Tensor Network Mapping Model and Distributed Circuit Ansatz
Chen-Yu Liu, Chu-Hsuan Abraham Lin, Kuan-Cheng Chen·Sep 11, 2024
In the Quantum-Train (QT) framework, mapping quantum state measurements to classical neural network weights is a critical challenge that affects the scalability and efficiency of hybrid quantum-classical models. The traditional QT framework employs a...
Developing a Framework for Sonifying Variational Quantum Algorithms: Implications for Music Composition
P. Itaboraí, Peter Thomas, Arianna Crippa +3 more·Sep 11, 2024
This chapter examines the Variational Quantum Harmonizer, a software tool and musical interface that focuses on the problem of sonification of the minimization steps of Variational Quantum Algorithms (VQA), used for simulating properties of quantum s...
Simulating continuous-space systems with quantum-classical wave functions
Friederike Metz, Gabriel Pescia, Giuseppe Carleo·Sep 10, 2024
Most non-relativistic interacting quantum many-body systems, such as atomic and molecular ensembles or materials, are naturally described in terms of continuous-space Hamiltonians. The simulation of their ground-state properties on digital quantum co...
Cahier de l'Institut Pascal: Noisy Quantum Dynamics and Measurement-Induced Phase Transitions
Alexios Christopoulos, Alessandro Santini, G. Giachetti·Sep 10, 2024
This is a conference proceeding in the framework of workshop"OpenQMBP2023"at Institute Pascal (Orsay, France) and associated to the lecture given by Prof. Ehud Altman. We provide a comprehensive analysis of recent results in the context of measuremen...
End-to-End Quantum Simulation of a Chemical System
W. V. Dam, Hongbin Liu, Guang Hao Low +6 more·Sep 9, 2024
We demonstrate the first end-to-end integration of high-performance computing (HPC), reliable quantum computing, and AI in a case study on catalytic reactions producing chiral molecules. We present a hybrid computation workflow to determine the stron...
Quantum annealing applications, challenges and limitations for optimisation problems compared to classical solvers
Finley Alexander Quinton, P. S. Myhr, Mostafa Barani +2 more·Sep 9, 2024
Quantum computing is rapidly advancing, harnessing the power of qubits’ superposition and entanglement for computational advantages over classical systems. However, scalability poses a primary challenge for these machines. By implementing a hybrid wo...
Experimental Quantum Simulation of Chemical Dynamics.
T. Navickas, R. MacDonell, C. Valahu +10 more·Sep 6, 2024
Accurate simulation of dynamic processes in molecules and reactions is among the most challenging problems in quantum chemistry. Quantum computers promise efficient chemical simulation, but the existing quantum algorithms require many logical qubits ...
On-chip high-dimensional entangled photon sources
Tavshabad Kaur, Daniel Peace, Jacquiline Romero·Sep 5, 2024
High-dimensional quantum entanglement is an important resource for emerging quantum technologies such as quantum communication and quantum computation. The scalability of metres-long experimental setups limits high-dimensional entanglement in bulk op...
Enhancing the performance of variational quantum classifiers with hybrid autoencoders
Georgios Maragkopoulos, Aikaterini Mandilara, Antonia Tsili +1 more·Sep 5, 2024
Variational quantum circuits (VQC) lie at the forefront of quantum machine learning research. Still, the use of quantum networks for real data processing remains challenging as the number of available qubits cannot accommodate a large dimensionality ...
Hybrid Oscillator-Qubit Quantum Processors: Simulating Fermions, Bosons, and Gauge Fields
Eleanor Crane, Kevin C. Smith, T. Tomesh +9 more·Sep 5, 2024
We develop a hybrid oscillator-qubit processor framework for quantum simulation of strongly correlated fermions and bosons that avoids the boson-to-qubit mapping overhead encountered in qubit hardware. This framework gives exact decompositions of par...
GALIC: hybrid multi-qubitwise pauli grouping for quantum computing measurement
Matthew X. Burns, Chenxu Liu, S. Stein +3 more·Sep 1, 2024
Observable estimation is a core primitive in NISQ-era algorithms targeting quantum chemistry applications. To reduce the state preparation overhead required for accurate estimation, recent works have proposed various simultaneous measurement schemes ...
Resource state generation for a multispin register in a hybrid matter-photon quantum information processor
Yu Liu, Martin B. Plenio·Aug 30, 2024
Hybrid quantum architectures that integrate matter and photonic degrees of freedom present a promising pathway toward scalable, fault-tolerant quantum computing. This approach needs to combine well-established entangling operations between distant re...
Evaluation of Quantum Annealing-based algorithms for flexible job shop scheduling
Philipp Schworm, Xiangqian Wu, Matthias Klar +1 more·Aug 28, 2024
A flexible job shop scheduling problem (FJSSP) poses a complex optimization task in modeling real-world process scheduling tasks with conflicting objectives. To tackle FJSSPs, approximation methods are employed to ensure solutions are within acceptab...
Single-shot latched readout of a quantum dot qubit using barrier gate pulsing
Sanghyeok Park, Jared Benson, J. Corrigan +4 more·Aug 27, 2024
Latching techniques are widely used to enhance readout of qubits. These methods require precise tuning of multiple tunnel rates, which can be challenging to achieve under realistic experimental conditions, such as when a qubit is coupled to a single ...
Toward Mixed Analog-Digital Quantum Signal Processing: Quantum AD/DA Conversion and the Fourier Transform
Yuan Liu, John M. Martyn, Jasmine Sinanan-Singh +3 more·Aug 27, 2024
Signal processing stands as a pillar of classical computation and modern information technology, applicable to both analog and digital signals. Recently, advancements in quantum information science have suggested that quantum signal processing (QSP) ...
Modified recursive QAOA for exact MAX-CUT solutions on bipartite graphs: closing the gap beyond QAOA limit
Eunok Bae, Hyukjoon Kwon, V. Vijendran +1 more·Aug 23, 2024
Quantum approximate optimization algorithm (QAOA) is a quantum–classical hybrid algorithm proposed with the goal of approximately solving combinatorial optimization problems such as the MAX-CUT problem. It has been considered a potential candidate fo...
Quantum calculation for two-stream instability and advection test of Vlasov–Maxwell equations: numerical evaluation of Hamiltonian simulation
Hayato Higuchi, J. Pedersen, Kiichiro Toyoizumi +3 more·Aug 21, 2024
The Vlasov–Maxwell equations provide kinetic simulations of collisionless plasmas, but numerically solving them on classical computers is often impractical. This is due to the computational resource constraints imposed by the time evolution in the si...
Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer.
Patrick Ettenhuber, Mads Bøttger Hansen, Irfansha Shaik +7 more·Aug 20, 2024
Quantum computing (QC) provides a promising avenue for enabling quantum chemistry calculations, which are classically impossible due to computational complexity that increases exponentially with system size. As fully fault-tolerant algorithms and har...