Papers
Live trends in quantum computing research, updated daily from arXiv.
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15,336 papers in 12 months (-9% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Diamond-shaped quantum circuit for real-time quantum dynamics in one dimension
S. Miyakoshi, T. Sugimoto, Tomonori Shirakawa +2 more·Nov 10, 2023
In recent years, quantum computing has evolved as an exciting frontier, with the development of numerous algorithms dedicated to constructing quantum circuits that adeptly represent quantum many-body states. However, this domain remains in its early ...
Nuclear electric resonance for spatially resolved spin control via pulsed optical excitation in the UV-visible spectrum
Johannes K. Krondorfer, Andreas W. Hauser·Nov 9, 2023
Nuclear electric resonance (NER) spectroscopy is currently experiencing a revival as a tool for nuclear spin-based quantum computing. Compared to magnetic or electric fields, local electron density fluctuations caused by changes in the atomic environ...
An introduction to financial option pricing on a qudit-based quantum computer
N. Bornman·Nov 9, 2023
The financial sector is anticipated to be one of the first industries to benefit from the increased computational power of quantum computers, in areas such as portfolio optimisation and risk management to financial derivative pricing. Financial mathe...
Charge qubits based on ultra-thin topological insulator films
Kexin Zhang, H. Lepage, Ying Dong +1 more·Nov 9, 2023
We study how to use the surface states in a Bi2Se3 topological insulator ultra-thin film that are affected by finite size effects for the purpose of quantum computing. We demonstrate that: (i) surface states under the finite size effect can effective...
Real-time error mitigation for variational optimization on quantum hardware
Matteo Robbiati, Alejandro Sopena, Andrea Papaluca +1 more·Nov 9, 2023
In this work we put forward the inclusion of error mitigation routines in the process of training Variational Quantum Circuit (VQC) models. In detail, we define a Real Time Quantum Error Mitigation (RTQEM) algorithm to assist in fitting functions on ...
Blue-Detuned Magneto-optical Trap of CaF Molecules.
Samuel J. Li, Connor M. Holland, Yukai Lu +1 more·Nov 9, 2023
A key method to produce trapped and laser-cooled molecules is the magneto-optical trap (MOT), which is conventionally created using light red detuned from an optical transition. In this work, we report a MOT for CaF molecules created using blue-detun...
Creation of Two-Mode Squeezed States in Atomic Mechanical Oscillators.
W. Leong, Mingjie Xin, Zilong Chen +2 more·Nov 8, 2023
Two-mode squeezed states, which are entangled states with bipartite quantum correlations in continuous-variable systems, are crucial in quantum information processing and metrology. Recently, continuous-variable quantum computing with the vibrational...
Cryogenic Resonant Amplifier for Electron-on-Helium Image Charge Readout
Mikhail Belianchikov, Jakob A. Kraus, Denis Konstantinov·Nov 8, 2023
An electron-on-helium qubit is a promising physical platform for quantum information technologies. Among all the “blueprints” for the qubit realization, a hybrid Rydberg-spin qubit seems to be a promising one toward quantum computing using electron s...
Shortcut‐to‐Adiabatic Controlled‐Phase Gate in Rydberg Atoms
Luis S. Yagüe Bosch, Tim Ehret, F. Petiziol +2 more·Nov 8, 2023
A shortcut‐to‐adiabatic protocol for the realization of a fast and high‐fidelity controlled‐phase gate in Rydberg atoms is developed. The adiabatic state transfer, driven in the high‐blockade limit, is sped up by compensating nonadiabatic transitions...
Learning Quantum Phase Estimation by Variational Quantum Circuits
Chen-Yu Liu, Kuan-Cheng Chen, Chu-Hsuan Abraham Lin·Nov 8, 2023
Quantum Phase Estimation (QPE) stands as a pivotal quantum computing subroutine that necessitates an inverse Quantum Fourier Transform (QFT). However, it is imperative to recognize that enhancing the precision of the estimation inevitably results in ...
Training iterated protocols for distillation of GHZ states with variational quantum algorithms
Áron Rozgonyi, Gábor Széchenyi, O. Kálmán +1 more·Nov 8, 2023
We present optimized distillation schemes for preparing Greenberger-Horne-Zeilinger (GHZ) states. Our approach relies on training variational quantum circuits with white noise affected GHZ states as inputs. Optimizing for a single iteration of the sc...
Deep learning as a tool for quantum error reduction in quantum image processing
Krzysztof Werner, Kamil Wereszczy'nski, Rafał Potempa +1 more·Nov 8, 2023
Despite the limited availability and quantum volume of quantum computers, quantum image representation is a widely researched area. Currently developed methods use quantum entanglement to encode information about pixel positions. These methods range ...
Erasure Detection of a Dual-Rail Qubit Encoded in a Double-Post Superconducting Cavity.
A. Koottandavida, Ioannis Tsioutsios, Aikaterini Kargioti +8 more·Nov 8, 2023
Qubits with predominantly erasure errors present distinctive advantages for quantum error correction (QEC) and fault-tolerant quantum computing. Logical qubits based on dual-rail encoding that exploit erasure detection have been recently proposed in ...
Scalable Fault-Tolerant Quantum Technologies with Silicon Color Centers
S. Simmons·Nov 8, 2023
The scaling barriers currently faced by both quantum networking and quantum computing technologies ultimately amount to the same core challenge of distributing high-quality entanglement at scale. In this Perspective, a novel quantum information proce...
Simultaneous discovery of quantum error correction codes and encoders with a noise-aware reinforcement learning agent
J. Olle, Remmy Zen, Matteo Puviani +1 more·Nov 8, 2023
In the ongoing race towards experimental implementations of quantum error correction (QEC), finding ways to automatically discover codes and encoding strategies tailored to the qubit hardware platform is emerging as a critical problem. Reinforcement ...
Multimodal deep representation learning for quantum cross-platform verification
Yan Qian, Yuxuan Du, Zhenliang He +2 more·Nov 7, 2023
Cross-platform verification, a critical undertaking in the realm of early-stage quantum computing, endeavors to characterize the similarity of two imperfect quantum devices executing identical algorithms, utilizing minimal measurements. While the ran...
Compilation of product-formula Hamiltonian simulation via reinforcement learning
Lea M. Trenkwalder, Eleanor Scerri, T. O’Brien +1 more·Nov 7, 2023
Hamiltonian simulation is believed to be one of the first tasks where quantum computers can yield a quantum advantage. One of the most popular methods of Hamiltonian simulation is Trotterization, which makes use of the approximation $e^{i\sum_jA_j}\s...
Counterdiabatic optimized driving in quantum phase sensitive models
Francesco Pio Barone, Oriel Kiss, M. Grossi +2 more·Nov 7, 2023
State preparation plays a pivotal role in numerous quantum algorithms, including quantum phase estimation. This paper extends and benchmarks counterdiabatic driving protocols across three one-dimensional spin systems characterized by phase transition...
Resource analysis of quantum algorithms for coarse-grained protein folding models
Hanna Linn, Isak Brundin, Laura Garc'ia-'Alvarez +1 more·Nov 7, 2023
Protein folding processes are a vital aspect of molecular biology that is hard to simulate with conventional computers. Quantum algorithms have been proven superior for certain problems and may help tackle this complex life science challenge. We anal...
Graph-controlled Permutation Mixers in QAOA for the Flexible Job-Shop Problem
Lilly Palackal, Leonhard Richter, Maximilian Hess·Nov 7, 2023
One of the most promising attempts towards solving optimization problems with quantum computers in the noisy intermediate scale era of quantum computing are variational quantum algorithms. The Quantum Alternating Operator Ansatz provides an algorithm...