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Strategies for Variational Quantum Compiling of a Zero-Phase Beam Splitter on the Xanadu X8 Processor
In the context of variational compiling of a continuous-variable (CV) unitary operation, the architecture and parameter space of the Xanadu X8...
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Variational quantum algorithms: fundamental concepts, applications and challenges
Quantum computing is a new discipline combining quantum mechanics and computer science, which is expected to solve technical problems that are...
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Deterministic algorithms for compiling quantum circuits with recurrent patterns
Current quantum processors are noisy and have limited coherence and imperfect gate implementations. On such hardware, only algorithms that are...
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Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
Quantum computing is a game-changing technology for global academia, research centers and industries including computational science, mathematics,...
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A meta-trained generator for quantum architecture search
Variational Quantum Algorithms (VQAs) have made great success in the Noisy Intermediate-Scale Quantum (NISQ) era due to their relative resilience to...
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Variational Algorithms, Quantum Approximate Optimization Algorithm, and Neural Network Quantum States with Two Qubits
We describe different variational ansatzes and study entanglement in the ground state of the two-qubit transverse-field Ising model.
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Determination of molecular energies via variational-based quantum imaginary time evolution in a superconducting qubit system
As a valid tool for solving ground state problems, imaginary time evolution (ITE) is widely used in physical and chemical simulations. Different...
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Variational quantum state eigensolver
Extracting eigenvalues and eigenvectors of exponentially large matrices will be an important application of near-term quantum computers. The...
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Variational quantum algorithms
Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical...
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An RNN–policy gradient approach for quantum architecture search
Variational quantum circuits are one of the promising ways to exploit the advantages of quantum computing in the noisy intermediate-scale quantum...
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Synthesis of quantum circuits based on supervised learning and correlations
This work introduces the use of a variational quantum circuit in order to perform unitary decomposition of a quantum operator. By use of classical...
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Gate-free state preparation for fast variational quantum eigensolver simulations
The variational quantum eigensolver is currently the flagship algorithm for solving electronic structure problems on near-term quantum computers. The...
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Simulation of Time-Dependent Quantum Dynamics Using Quantum Computers
We review the basics of quantum computation and provide an overview of the quantum computers currently in operation. We introduce the error...
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A progressive predictor-based quantum architecture search with active learning
Quantum architecture search (QAS) algorithms have demonstrated remarkable proficiency in automatically designing high-performance quantum circuits...
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Search space pruning for quantum architecture search
Variational quantum algorithms (VQAs) have been proposed for most of the applications that researchers have envisioned for quantum computers and...
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Realization of quantum signal processing on a noisy quantum computer
Quantum signal processing (QSP) is a powerful toolbox for the design of quantum algorithms and can lead to asymptotically optimal computational...
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Quantum approximate optimization via learning-based adaptive optimization
Combinatorial optimization problems are ubiquitous and computationally hard to solve in general. Quantum approximate optimization algorithm (QAOA),...
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On-premises superconducting quantum computer for education and research
With a growing interest in quantum technology globally, there is an increasing need for accessing relevant physical systems for education and...
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Long-time simulations for fixed input states on quantum hardware
Publicly accessible quantum computers open the exciting possibility of experimental dynamical quantum simulations. While rapidly improving, current...
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Drug design on quantum computers
The promised industrial applications of quantum computers often rest on their anticipated ability to perform accurate, efficient quantum chemical...
