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6 papers · 2 filters
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
Po-Yu Kao, Ya-Chu Yang, Wei-Yin Chiang +8
De novo drug design with desired biological activities is crucial for developing novel therapeutics for patients. The drug development process is time and resource-consuming, and i…
Realistic quantum photonic neural networks
Jacob Ewaniuk, Jacques Carolan, Bhavin J. Shastri +1
Quantum photonic neural networks are variational photonic circuits that can be trained to implement high-fidelity quantum operations. However, work-to-date has assumed idealized co…
Demonstration of tunable three-body interactions between superconducting qubits
Tim Menke, William P. Banner, Thomas R. Bergamaschi +16
Nonpairwise multi-qubit interactions present a useful resource for quantum information processors. Their implementation would facilitate more efficient quantum simulations of molec…
Circuit connectivity boosts by quantum-classical-quantum interfaces
Roeland Wiersema, Leonardo Guerini, Juan Felipe Carrasquilla +1
High-connectivity circuits are a major roadblock for current quantum hardware. We propose a hybrid classical-quantum algorithm to simulate such circuits without swap-gate ladders.…
Optimizing quantum circuits with Riemannian gradient flow
Roeland Wiersema, Nathan Killoran
Variational quantum algorithms are a promising class of algorithms that can be performed on currently available quantum computers. In most settings, the free parameters of a variat…
Towards Quantum Computing with Molecular Electronics
Phillip W. K. Jensen, Lasse Bjørn Kristensen, Cyrille Lavigne +1
In this study, we explore the use of molecules and molecular electronics for quantum computing. We construct one-qubit gates using one-electron scattering in molecules, and two-qub…