Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,138 papers in 12 months (+1% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Efficient quantum simulation of electron-phonon systems by variational basis state encoder
Weitang Li, Jiajun Ren, Sai-nan Huai +3 more·Jan 4, 2023
Digital quantum simulation of electron-phonon systems requires truncating infinite phonon levels into $N$ basis states and then encoding them with qubit computational basis. Unary encoding and the more compact binary/Gray encoding are the two most re...
Rotational Abstractions for Verification of Quantum Fourier Transform Circuits
Arun Govindankutty, S. Srinivasan, Nimish Mathure·Jan 2, 2023
With the race to build large-scale quantum computers and efforts to exploit quantum algorithms for efficient problem solving in science and engineering disciplines, the requirement to have efficient and scalable verification methods are of vital impo...
Quantum Circuit Resizing
Movahhed Sadeghi, Soheil Khadirsharbiyani, M. Kandemir·Dec 30, 2022
—Existing quantum systems provide very limited phys- ical qubit counts, trying to execute a quantum algorithm/circuit on them that have a higher number of logical qubits than physically available lead to a compile-time error. Given that it is unreali...
Restricting to the chip architecture maintains the quantum neural network accuracy
Lucas Friedrich, J. Maziero·Dec 29, 2022
In the era of noisy intermediate-scale quantum devices, variational quantum algorithms (VQAs) stand as a prominent strategy for constructing quantum machine learning models. These models comprise both a quantum and a classical component. The quantum ...
Simulating neutrino oscillations on a superconducting qutrit
H. Nguyen, Bao Gia Bach, T. Nguyen +3 more·Dec 29, 2022
Precise measurements of parameters in the PMNS framework might lead to new physics beyond the Standard Model. However, they are incredibly challenging to determine in neutrino oscillation experiments. Quantum simulations can be a powerful supplementa...
On-chip polarization-encoded single-qubit gates with twisted waveguides
Fyodor Morozko, A. Novitsky, A. Mikhalychev +1 more·Dec 27, 2022
Integrated photonics is a remarkable platform for scalable classical and quantum light-based information processing. However, polarization manipulation on a chip despite of its fundamental significance in information processing remains elusive. Polar...
Near-optimal quantum circuit construction via Cartan decomposition
M. Mansky, Santiago Londoño Castillo, Victor Ramos Puigvert +1 more·Dec 25, 2022
We show the applicability of the Cartan decomposition of Lie algebras to quantum circuits. This approach can be used to synthesize circuits that can efficiently implement any desired unitary operation. Our method finds explicit quantum circuit repres...
Entanglement-efficient bipartite-distributed quantum computing
Jun-Yi Wu, Kosuke Matsui, Tim Forrer +5 more·Dec 24, 2022
In noisy intermediate-scale quantum computing, the limited scalability of a single quantum processing unit (QPU) can be extended through distributed quantum computing (DQC), in which one can implement global operations over two QPUs by entanglement-a...
Quantum computing on magnetic racetracks with flying domain wall qubits
J. Zou, S. Bosco, B. Pal +3 more·Dec 22, 2022
Domain walls (DWs) on magnetic racetracks are at the core of the field of spintronics, providing a basic element for classical information processing. Here, we show that mobile DWs also provide a blueprint for large-scale quantum computers. Remarkabl...
High-performance repetition cat code using fast noisy operations
François-Marie Le Régent, Camille Berdou, Z. Leghtas +2 more·Dec 22, 2022
Bosonic cat qubits stabilized by two-photon driven dissipation benefit from exponential suppression of bit-flip errors and an extensive set of gates preserving this protection. These properties make them promising building blocks of a hardware-effici...
Shallow quantum circuits for deeper problems
Adri'an P'erez-Salinas, Radoica Dravski'c, Jordi Tura i Brugués +1 more·Dec 22, 2022
State-of-the-art quantum computers can only reliably execute circuits with limited qubit numbers and computational depth. This severely reduces the scope of algorithms that can be run. While numerous techniques have been invented to exploit few-qubit...
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping
Michael Kölle, Alessandro Giovagnoli, Jonas Stein +3 more·Dec 22, 2022
In recent years, quantum machine learning has seen a substantial increase in the use of variational quantum circuits (VQCs). VQCs are inspired by artificial neural networks, which achieve extraordinary performance in a wide range of AI tasks as massi...
Graphix: optimizing and simulating measurement-based quantum computation on local-Clifford decorated graph
S. Sunami, Masato Fukushima·Dec 22, 2022
We introduce an open-source software library Graphix , which optimizes and simu-lates measurement-based quantum computation (MBQC). By combining the measurement calculus with an efficient graph state simulator, Graphix allows the classical preprocessin...
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse
E. Matekole, Esther Ye, Ramya Iyer +1 more·Dec 22, 2022
Quantum computing (QC) promises significant advantages on certain hard computational tasks over classical computers. However, current quantum hardware, also known as noisy intermediate-scale quantum computers (NISQ), are still unable to carry out com...
Self-Consistent Field Approach for the Variational Quantum Eigensolver: Orbital Optimization Goes Adaptive.
Aaron Fitzpatrick, Anton Nykänen, N. Talarico +4 more·Dec 21, 2022
We present a self-consistent field (SCF) approach within the adaptive derivative-assembled problem-tailored ansatz variational quantum eigensolver (ADAPT-VQE) framework for efficient quantum simulations of chemical systems on near-term quantum comput...
Learning efficient decoders for quasichaotic quantum scramblers
L. Leone, Salvatore F. E. Oliviero, S. Lloyd +1 more·Dec 21, 2022
Scrambling of quantum information is an important feature at the root of randomization and benchmarking protocols, the onset of quantum chaos, and black-hole physics. Unscrambling this information is possible given perfect knowledge of the scrambler ...
Robust Quantum Arithmetic Operations with Intermediate Qutrits in the NISQ-era
A. Saha, A. Chattopadhyay, Amlan Chakrabarti·Dec 21, 2022
Numerous scientific developments in this NISQ-era (Noisy Intermediate Scale Quantum) have raised the importance for quantum algorithms relative to their conventional counterparts due to its asymptotic advantage. For resource estimates in several quan...
Robust control and optimal Rydberg states for neutral atom two-qubit gates
M. Mohan, R. D. de Keijzer, S. Kokkelmans·Dec 20, 2022
We investigate the robustness of two-qubit gates to deviations of experimental controls, on a neutral atom platform utilizing Rydberg states. We construct robust CZ gates - employing techniques from quantum optimal control - that retain high Bell sta...
Bonsai Algorithm: Grow Your Own Fermion-to-Qubit Mappings
A. Miller, Zolt'an Zimbor'as, S. Knecht +2 more·Dec 19, 2022
Fermion-to-qubit mappings are used to represent fermionic modes on quantum computers, an essential first step in many quantum algorithms for electronic structure calculations. In this work, we present a formalism to design flexible fermion-to-qubit m...
Disentangling interacting systems with fermionic Gaussian circuits: Application to quantum impurity models
A. Wu, Benedikt Kloss, Wladislaw Krinitsin +3 more·Dec 19, 2022
Tensor network quantum states are powerful tools for strongly correlated systems, tailored to capture local correlations such as in ground states with entanglement area laws. When applying tensor network states to interacting fermionic systems, a pro...