Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum algorithm for linear non-unitary dynamics with near-optimal dependence on all parameters
Dong An, Andrew M. Childs, Lin Lin·Dec 6, 2023
We introduce a family of identities that express general linear non-unitary evolution operators as a linear combination of unitary evolution operators, each solving a Hamiltonian simulation problem. This formulation can exponentially enhance the accu...
Clustering by Contour Coreset and Variational Quantum Eigensolver
Canaan Yung, Muhammad Usman·Dec 6, 2023
Recent work has proposed solving the k‐means clustering problem on quantum computers via the Quantum Approximate Optimization Algorithm (QAOA) and coreset techniques. Although the current method demonstrates the possibility of quantum k‐means cluster...
Logical quantum processor based on reconfigurable atom arrays
D. Bluvstein, S. Evered, A. Geim +19 more·Dec 6, 2023
Suppressing errors is the central challenge for useful quantum computing1, requiring quantum error correction (QEC)2–6 for large-scale processing. However, the overhead in the realization of error-corrected ‘logical’ qubits, in which information is e...
Dual-VQE: A quantum algorithm to lower bound the ground-state energy
Hanna Westerheim, Jingxuan Chen, Zoë Holmes +6 more·Dec 5, 2023
The variational quantum eigensolver (VQE) is a hybrid quantum-classical variational algorithm that produces an upper-bound estimate of the ground-state energy of a Hamiltonian. As quantum computers become more powerful and go beyond the reach of clas...
Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA
Yu-Cheng Lin, Chuan-Chi Wang, Chia-Heng Tu +1 more·Dec 5, 2023
Quantum approximate optimization algorithm (QAOA) is one of the popular quantum algorithms that are used to solve combinatorial optimization problems via approximations. QAOA is able to be evaluated on both physical and virtual quantum computers simu...
The variational quantum eigensolver self-consistent field method within a polarizable embedded framework.
E. Kjellgren, Peter Reinholdt, Aaron Fitzpatrick +6 more·Dec 4, 2023
We formulate and implement the Variational Quantum Eigensolver Self Consistent Field (VQE-SCF) algorithm in combination with polarizable embedding (PE), thereby extending PE to the regime of quantum computing. We test the resulting algorithm, PE-VQE-...
Programmable simulations of molecules and materials with reconfigurable quantum processors
N. Maskara, S. Ostermann, J. Shee +9 more·Dec 4, 2023
Simulations of quantum chemistry and quantum materials are believed to be among the most important applications of quantum information processors. However, realizing practical quantum advantage for such problems is challenging because of the prohibit...
Quantum algorithm for the radiative-transfer equation
Asuka Igarashi, Tadashi Kadowaki, Shiro Kawabata·Dec 4, 2023
The radiation transfer equation is widely used for simulating such as heat transfer in engineering, diffuse optical tomography in healthcare, and radiation hydrodynamics in astrophysics. By combining the lattice Boltzmann method, we propose a quantum...
From Qubits to Opinions: Operator and Error Syndrome Measurement in Quantum-Inspired Social Simulations on Transversal Gates
Yasuko Kawahata·Dec 4, 2023
This paper delves into the history and integration of quantum theory into areas such as opinion dynamics, decision theory, and game theory, offering a novel framework for social simulations. It introduces a quantum perspective for analyzing informati...
Challenges and opportunities in quantum optimization
Amira Abbas, A. Ambainis, Brandon Augustino +43 more·Dec 4, 2023
Quantum computers have demonstrable ability to solve problems at a scale beyond brute-force classical simulation. Interest in quantum algorithms has developed in many areas, particularly in relation to mathematical optimization — a broad field with l...
Quantum Factoring Algorithm using Grover Search
S. Whitlock, T. Kieu·Dec 3, 2023
We present a quantum algorithm for factoring products of prime numbers which exploits Grover search to factor any $n$-bit biprime using $2n-5$ qubits or less. The algorithm doesn't depend on any properties of the number to be factored, has guaranteed...
Quantum Simulation of Dissipative Energy Transfer via Noisy Quantum Computer
Chin-Yi Lin, Li-Chai Shih, Shin Sun +1 more·Dec 3, 2023
We study whether dissipative energy-transfer dynamics can be simulated on noisy near-term quantum hardware by treating device noise as a calibrated resource rather than purely as an error source. Focusing on a biased exciton dimer, we encode the sing...
Scaling whole-chip QAOA for higher-order ising spin glass models on heavy-hex graphs
Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio +2 more·Dec 2, 2023
We show that the quantum approximate optimization algorithm (QAOA) for higher-order, random coefficient, heavy-hex compatible spin glass Ising models has strong parameter concentration across problem sizes from 16 up to 127 qubits for p = 1 up to p =...
Towards Transparency in Coreference Resolution: A Quantum-Inspired Approach
Hadi Wazni, M. Sadrzadeh·Dec 1, 2023
Guided by grammatical structure, words compose to form sentences, and guided by discourse structure, sentences compose to form dialogues and documents. The compositional aspect of sentence and discourse units is often overlooked by machine learning a...
Exploiting Maximally Mixed States for Spectral Estimation by Time Evolution
Kaelyn Ferris, Zihang Wang, I. Hen +3 more·Dec 1, 2023
We introduce a novel approach for estimating the spectrum of quantum many-body Hamiltonians, and more generally, of Hermitian operators, using quantum time evolution. In our approach we are evolving a maximally mixed state under the Hamiltonian of in...
Probing off-diagonal eigenstate thermalization with tensor networks
Maxine Luo, Rahul Trivedi, M. Bañuls +1 more·Dec 1, 2023
Energy filter methods in combination with quantum simulation can efficiently access the properties of quantum many-body systems at finite energy densities [Lu et al. PRX Quantum 2, 020321 (2021)]. Classically simulating this algorithm with tensor net...
Optimizing ZX-diagrams with deep reinforcement learning
Maximilian Nägele, Florian Marquardt·Nov 30, 2023
ZX-diagrams are a powerful graphical language for the description of quantum processes with applications in fundamental quantum mechanics, quantum circuit optimization, tensor network simulation, and many more. The utility of ZX-diagrams relies on a ...
Quantum simulations for strong-field QED
Luis Hidalgo, Patrick Draper·Nov 30, 2023
Quantum field theory in the presence of strong background fields contains interesting problems where quantum computers may someday provide a valuable computational resource. In the NISQ era it is useful to consider simpler benchmark problems in order...
Quantum Simulation of an Open System: A Dissipative 1+1D Ising Model
Erik Gustafson, M. Hite, J. Hubisz +2 more·Nov 30, 2023
The 1+1D Ising model is an ideal benchmark for quantum algorithms, as it is very well understood theoretically. This is true even when expanding the model to include complex coupling constants. In this work, we implement quantum algorithms designed f...
Subspace methods for electronic structure simulations on quantum computers
Mario Motta, William Kirby, I. Liepuoniute +7 more·Nov 30, 2023
Quantum subspace methods (QSMs) are a class of quantum computing algorithms where the time-independent Schrödinger equation for a quantum system is projected onto a subspace of the underlying Hilbert space. This projection transforms the Schrödinger ...