Quantum Brain

Papers

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

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13,371 papers in 12 months (+7% vs prior quarter)

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Qubit Platforms

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4,120 papers found

Quanto: optimizing quantum circuits with automatic generation of circuit identities

Jessica Pointing, Oded Padon, Zhihao Jia +4 more·Nov 22, 2021

Existing quantum compilers focus on mapping a logical quantum circuit to a quantum device and its native quantum gates. Only simple circuit identities are used to optimize the quantum circuit during the compilation process. This approach misses more ...

Computer SciencePhysics

Dimensional Expressivity Analysis, best-approximation errors, and automated design of parametric quantum circuits

L. Funcke, T. Hartung, K. Jansen +3 more·Nov 22, 2021

The design of parametric quantum circuits (PQCs) for efficient use in variational quantum simulations (VQS) is subject to two competing factors. On one hand, the set of states that can be generated by the PQC has to be large enough to contain the sol...

Physics

Flying electron spin control gates

Paul L. J. Helgers, J. Stotz, H. Sanada +3 more·Nov 21, 2021

The control of "flying” (or moving) spin qubits is an important functionality for the manipulation and exchange of quantum information between remote locations on a chip. Typically, gates based on electric or magnetic fields provide the necessary per...

MedicinePhysics

Monolithic Three-Dimensional Tuning of an Atomically Defined Silicon Tunnel Junction.

M. Donnelly, J. Keizer, Y. Chung +1 more·Nov 19, 2021

A requirement for quantum information processors is the in situ tunability of the tunnel rates and the exchange interaction energy within the device. The large energy level separation for atom qubits in silicon is well suited for qubit operation but ...

MedicinePhysics

Differentiable quantum computational chemistry with PennyLane

J. Arrazola, S. Jahangiri, A. Delgado +15 more·Nov 18, 2021

This work describes the theoretical foundation for all quantum chemistry functionality in PennyLane, a quantum computing software library specializing in quantum differentiable programming. We provide an overview of fundamental concepts in quantum ch...

Physics

Robust quantum-network memory based on spin qubits in isotopically engineered diamond

C. Bradley, S. D. Bone, P. Møller +9 more·Nov 18, 2021

Quantum networks can enable quantum communication and modular quantum computation. A powerful approach is to use multi-qubit nodes that provide quantum memory and computational power. Nuclear spins associated with defects in diamond are promising qub...

Physics

Exploring Airline Gate-Scheduling Optimization Using Quantum Computers

Hamed Mohammadbagherpoor, P. Dreher, Mohannad Ibrahim +4 more·Nov 18, 2021

This paper investigates the application of quantum computing technology to airline gate-scheduling quadratic assignment problems (QAP). We explore the quantum computing hardware architecture and software environment required for porting classical ver...

Computer SciencePhysics

A Variation-Aware Quantum Circuit Mapping Approach Based on Multi-Agent Cooperation

P. Zhu, Weiping Ding, Lihuan Wei +3 more·Nov 17, 2021

Quantum circuit mapping is an essential process required by executing quantum circuits using a noisy intermediate-scale quantum (NISQ) device. Since qubits and quantum gates of a NISQ device are error-prone and variable in quality, it is crucial to c...

Computer SciencePhysics

Robust Preparation of Wigner-Negative States with Optimized SNAP-Displacement Sequences

M. Kudra, Mikael Kervinen, Ingrid Strandberg +10 more·Nov 15, 2021

Hosting non-classical states of light in three-dimensional microwave cavities has emerged as a promising paradigm for continuous-variable quantum information processing. Here we experimentally demonstrate high-fidelity generation of a range of Wigner...

Physics

Simulation of Quantum Many-Body Dynamics with Tensor Processing Units: Floquet Prethermalization

A. Morningstar, M. Hauru, J. Beall +4 more·Nov 15, 2021

Tensor Processing Units (TPUs) are specialized hardware accelerators developed by Google to support large-scale machine-learning tasks, but they can also be leveraged to accelerate and scale other linear-algebra-intensive computations. In this paper ...

Physics

Quantum algorithms for approximate function loading

Gabriel Marin-Sanchez, Javier Gonzalez-Conde, M. Sanz·Nov 15, 2021

Loading classical data into quantum computers represents an essential stage in many relevant quantum algorithms, especially in the field of quantum machine learning. Therefore, the inefficiency of this loading process means a major bottleneck for the...

Physics

Efficient multi-qubit subspace rotations via topological quantum walks

X. Gu, J. Allcock, S. An +1 more·Nov 12, 2021

The rotation of subspaces by a chosen angle is a fundamental quantum computing operation, with applications in error correction and quantum algorithms such as the Quantum Approximate Optimization Algorithm, the Variational Quantum Eigensolver and the...

Physics

Quantum error correction meets continuous symmetries: fundamental trade-offs and case studies

Zi-Wen Liu, Sisi Zhou·Nov 11, 2021

We systematically study the fundamental competition between quantum error correction (QEC) and continuous symmetries, two key notions in quantum information and physics, in a quantitative manner. Three meaningful measures of approximate symmetries in...

Physics

Approximate symmetries and quantum error correction

Zi-Wen Liu, Sisi Zhou·Nov 11, 2021

Quantum error correction (QEC) is a key concept in quantum computation as well as many areas of physics. There are fundamental tensions between continuous symmetries and QEC. One vital situation is unfolded by the Eastin–Knill theorem, which forbids ...

Physics

Quantum amplitude damping for solving homogeneous linear differential equations: A noninterferometric algorithm

J. Romeiro, F. Brito·Nov 10, 2021

In contexts where relevant problems can easily attain configuration spaces of enormous sizes, solving Linear Differential Equations (LDEs) can become a hard achievement for classical computers; on the other hand, the rise of quantum hardware can conc...

Physics

Simulating time evolution with fully optimized single-qubit gates on parametrized quantum circuits

Kaito Wada, Rudy Raymond, Yu-ya Ohnishi +4 more·Nov 10, 2021

We propose a novel method to sequentially optimize arbitrary single-qubit gates in parameterized quantum circuits for simulating real and imaginary time evolution. The method utilizes full degrees of freedom of single-qubit gates and therefore can po...

Physics

Quadratic improvement on accuracy of approximating pure quantum states and unitary gates by probabilistic implementation

Seiseki Akibue, G. Kato, S. Tani·Nov 10, 2021

Pure quantum states are often approximately encoded as classical bit strings such as those representing probability amplitudes and those describing circuits that generate the quantum states. The crucial quantity is the minimum length of classical bit...

PhysicsMathematics

Single shot i-Toffoli gate in dispersively coupled superconducting qubits

Aneirin J. Baker, Gerhard Huber, N. J. Glaser +4 more·Nov 10, 2021

Quantum algorithms often benefit from the ability to execute multi-qubit (>2) gates. To date such multi-qubit gates are typically decomposed into single- and two-qubit gates, particularly in superconducting qubit architectures. The ability to perform...

Physics

Multiqubit entanglement and quantum phase gates with epsilon-near-zero plasmonic waveguides

Ying Li, C. Argyropoulos·Nov 9, 2021

Multiqubit entanglement is extremely important to perform truly secure quantum optical communication and computing operations. However, the efficient generation of long-range entanglement over extended time periods between multiple qubits randomly di...

Physics

Generalization in quantum machine learning from few training data

Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo +4 more·Nov 9, 2021

Modern quantum machine learning (QML) methods involve variationally optimizing a parameterized quantum circuit on a training data set, and subsequently making predictions on a testing data set (i.e., generalizing). In this work, we provide a comprehe...

PhysicsComputer ScienceMathematicsMedicine
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