Quantum Brain

Papers

Live trends in quantum computing research, updated daily from arXiv.

Total Papers

30,856

This Month

902

Today

0

Research Volume

15,145 papers in 12 months (-14% vs prior quarter)

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Papers by research theme (12 months). Hover for details.

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

30,856 papers found

SFQ counter-based precomputation for large-scale cryogenic VQE machines

Yosuke Ueno, Satoshi Imamura, Yuna Tomida +5 more·Mar 1, 2024

The variational quantum eigensolver (VQE) is a promising candidate that brings practical benefits from quantum computing. However, the required bandwidth in/out of a cryostat is a limiting factor to scale cryogenic quantum computers. We propose a tai...

PhysicsComputer Science

Multiple classical noise mitigation by multiobjective robust quantum optimal control

Bowen Shao, Xiaodong Yang, Ran Liu +4 more·Mar 1, 2024

High-quality control is a fundamental requirement for quantum computation, but practically it is often hampered by the presence of various types of noises, which can be static or time-dependent. In many realistic scenarios, multiple noise sources coe...

Physics

Reducing the Error Rate of a Superconducting Logical Qubit using Analog Readout Information

Hany Ali, J. Marques, Ophelia Crawford +7 more·Mar 1, 2024

Quantum error correction allows for quantum information to be preserved using logical qubits, which are subject to lower error rates than their constituent physical qubits. The degree of error suppression depends on the choice of error correcting cod...

PhysicsComputer Science

Cyclic quantum annealing: searching for deep low-energy states in 5000-qubit spin glass

Hao Zhang, K. Boothby, A. Kamenev·Mar 1, 2024

Quantum computers promise a qualitative speedup in solving a broad spectrum of practical optimization problems. The latter can be mapped onto the task of finding low-energy states of spin glasses, which is known to be exceedingly difficult. Using D-W...

PhysicsMedicine

Gate-set evaluation metrics for closed-loop optimal control on nitrogen-vacancy center ensembles in diamond

Philipp J. Vetter, Thomas Reisser, Maximilian G. Hirsch +4 more·Mar 1, 2024

A recurring challenge in quantum science and technology is the precise control of their underlying dynamics that lead to the desired quantum operations, often described by a set of quantum gates. These gates can be subject to application-specific err...

MedicinePhysics

Scalable Quantum Algorithms for Noisy Quantum Computers

Julien Gacon·Mar 1, 2024

Quantum computing not only holds the potential to solve long-standing problems in quantum physics, but also to offer speed-ups across a broad spectrum of other fields. However, due to the noise and the limited scale of current quantum computers, may ...

Physics

Microwave‐to‐Optics Conversion Using Magnetostatic Modes and a Tunable Optical Cavity

Wei‐Jiang Wu, Yi‐Pu Wang, Jie Li +2 more·Mar 1, 2024

Quantum computing, quantum communication, and quantum networks rely on hybrid quantum systems operating in different frequency ranges. For instance, the superconducting qubits work in the gigahertz range, while the optical photons used in communicati...

Physics

Introducing a Novel Quantum-Resistant Secret Key Establishment Method

Luis Adri'an Lizama-P'erez·Mar 1, 2024

We present a novel approach to secret key establishment that appears to be resistant to currently known quantum cryptanalytic algorithms. This quantum resistance arises because the security of our method does not rely on the difficulty of integer fac...

Computer ScienceMathematics

Optimal Quantum Circuit Cuts with Application to Clustered Hamiltonian Simulation

A. Harrow, Angus Lowe·Mar 1, 2024

We study methods to replace entangling operations with random local operations in a quantum computation, at the cost of increasing the number of required executions. First, we consider “spacelike cuts” where an entangling unitary is replaced with ran...

Physics

Multi-junction surface ion trap for quantum computing

J. Sterk, M. Blain, M. Delaney +11 more·Mar 1, 2024

Surface ion traps with two-dimensional layouts of trapping regions are natural architectures for storing large numbers of ions and supporting the connectivity needed to implement quantum algorithms. Many of the components and operations needed to ful...

Physics

Niobium coaxial cavities with internal quality factors exceeding 1.5 billion for circuit quantum electrodynamics

Andrew E. Oriani, Fang Zhao, Tanay Roy +6 more·Mar 1, 2024

Group-V materials such as niobium and tantalum have become popular choices for extending the performance of circuit quantum electrodynamics (cQED) platforms allowing for quantum processors and memories with reduced error rates and more modes. The com...

Physics

Crosstalk-robust quantum control in multimode bosonic systems

Xinyuan You, Yunwei Lu, Taeyoon Kim +10 more·Mar 1, 2024

High-coherence superconducting cavities offer a hardware-efficient platform for quantum information processing. To achieve universal operations of these bosonic modes, the requisite nonlinearity is realized by coupling them to a transmon ancilla. How...

Physics

X-ResQ: Reverse Annealing for Quantum MIMO Detection with Flexible Parallelism

Minsung Kim, A. Singh, D. Venturelli +2 more·Feb 29, 2024

Quantum Annealing (QA)-accelerated MIMO detection is an emerging research approach in the context of NextG wireless networks. The opportunity is to enable large MIMO systems and thus improve wireless performance. The approach aims to leverage QA to e...

Computer SciencePhysics

Open quantum system approaches to superconducting qubits

H. Naeij·Feb 29, 2024

Superconducting qubits are currently a leading platform for developing a scalable quantum computer. However, random and uncontrollable noises from the environment during the design and measurement of qubits lead to limitations in qubit coherence time...

Computer SciencePhysics

Single electron quantum dot in two-dimensional transition metal dichalcogenides

Jarosław Pawłowski, Pankaj Kumar, Kenji Watanabe +4 more·Feb 29, 2024

Spin–valley properties in two-dimensional (2D) semiconducting transition metal dichalcogenides (TMDCs) has attracted significant interest due to the possible applications in quantum computing. Spin–valley properties can be exploited in TMDC quantum d...

PhysicsMedicine

Realization of High-Fidelity CZ Gate Based on a Double-Transmon Coupler

Rui Li, Kentaro Kubo, Yinghao Ho +3 more·Feb 29, 2024

Striving for higher gate fidelity is crucial not only for enhancing existing noisy intermediate-scale quantum devices, but also for unleashing the potential of fault-tolerant quantum computation through quantum error correction. A recently proposed t...

Physics

Universal quantum computation using quantum annealing with the transverse-field Ising Hamiltonian

Takashige Imoto, Yuki Susa, R. Miyazaki +1 more·Feb 29, 2024

Quantum computation is a promising emerging technology, and by utilizing the principles of quantum mechanics, it is expected to achieve faster computations than classical computers for specific problems. There are two distinct architectures for quant...

Physics

Limits of Noisy Quantum Metrology with Restricted Quantum Controls.

Sisi Zhou·Feb 29, 2024

The Heisenberg limit [(HL), with estimation error scales as 1/n] and the standard quantum limit (SQL, ∝1/sqrt[n]) are two fundamental limits in estimating an unknown parameter in n copies of quantum channels and are achievable with full quantum contr...

PhysicsMedicine

High-Fidelity Detection on $^{171} \mathrm{Yb}^+$ Qubit via $^2D_{3/2}$ Shelving

Xueying Mai, Liyun Zhang, Yao Lu·Feb 29, 2024

High-fidelity detection of quantum states is indispensable for implementing quantum error correction, a prerequisite for fault-tolerant quantum computation. For promising trapped ion qubits, however, the detection fidelity is inherently limited by st...

Physics

Learning interacting fermionic Hamiltonians at the Heisenberg limit

Arjun Mirani, Patrick Hayden·Feb 29, 2024

Efficiently learning an unknown Hamiltonian given access to its dynamics is a problem of interest for quantum metrology, many-body physics and machine learning. A fundamental question is whether learning can be performed at the Heisenberg limit, wher...

Physics
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