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Found 11 papers, 7 papers with code
Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS
The discovery of small molecules with therapeutic potential is a long-standing challenge in chemistry and biology.
Research on Sparsity Measures for Rotating Machinery Health Monitoring
Machine health management is one of the main research contents of PHM technology, which aims to monitor the health states of machines online and evaluate degradation stages through real-time sensor data.
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings
The scope of data-driven fault diagnosis models is greatly extended through deep learning (DL).
Analyzing the Performance of Variational Quantum Factoring on a Superconducting Quantum Processor
We execute experimental demonstrations using a superconducting quantum processor, and investigate the trade-off between quantum resources (number of qubits and circuit depth) and the probability that a given integer is successfully factored.
Quantum Physics
Quantum Chemistry in the Age of Quantum Computing
Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century.
Quantum Physics
A framework for algorithm deployment on cloud-based quantum computers
In recent years, the field of quantum computing has significantly developed in both the improvement of hardware as well as the assembly of various software tools and platforms, including cloud access to quantum devices.
Quantum Physics
Variational Quantum Factoring
In this work, we revisit the problem of factoring, developing an alternative to Shor's algorithm, which employs established techniques to map the factoring problem to the ground state of an Ising Hamiltonian.
Quantum Physics
Quantum Neuron: an elementary building block for machine learning on quantum computers
In the construction of feedforward networks of quantum neurons, we provide numerical evidence that the network not only can learn a function when trained with superposition of inputs and the corresponding output, but that this training suffices to learn the function on all individual inputs separately.
QVECTOR: an algorithm for device-tailored quantum error correction
Current approaches to fault-tolerant quantum computation will not enable useful quantum computation on near-term devices of 50 to 100 qubits.
Quantum Physics
OpenFermion: The Electronic Structure Package for Quantum Computers
Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices.
Quantum Physics Chemical Physics Computational Physics
Quantum Circuit Design for Solving Linear Systems of Equations
Recently, it is shown that quantum computers can be used for obtaining certain information about the solution of a linear system Ax=b exponentially faster than what is possible with classical computation.
Quantum Physics
