The latest in Quantum Thinking
In this work, we demonstrate that a symmetric floating tunable coupler provides a natural platform for fast, high-fidelity adiabatic controlled-Z (CZ) gates. Its favorable energy-level structure eliminates the conventional trade-off between rapid conditional-phase accumulation and adiabatic evolution while preserving exact cancellation of residual ZZ interaction at idling.
Learn MoreWe introduce a practical method to verify key non-classical properties of a quantum algorithm’s implementation on a physical device.
Read MoreWe explore multiple heterogeneous approaches to solving multiple industry-relevant benchmark problems in order to understand how best to leverage quantum computers given current constraints.
Read MoreWe describe an approach to satellite image classification using a universal quantum enhancement to convolutional neural networks: the quanvolutional neural network.
Read MoreWe propose optical networking via heralding end-to-end entanglement with one detected photon and teleportation.
Read MoreWe use a real world financial dataset consisting of correlated currency pairs and compare two models in their ability to learn the resulting distribution - a restricted Boltzmann machine, and a quantum circuit Born machine.
Read MoreWe propose a method to reliably and efficiently extract the fidelity of many-qubit quantum circuits composed of continuously parametrized two-qubit gates called matchgates.
Read MoreNovel implementation of XY(θ) unlocks a new family of entangling gates.
Read MoreWe test the proposed method on Rigetti's quantum processor unit and find an excellent agreement with the theory, despite experimental errors.
Read MoreWe establish the tractability of finding the optimal Nash equilibrium to a discrete congestion game using a gate-model quantum computer.
Read MoreWe describe many of the principles behind Quilc's design, and demonstrate the compiler with various examples.
Read MoreWe introduce a new type of transformational layer called a quantum convolution, or quanvolutional layer.
Read MoreWe enumerate the architectural requirements of a quantum-classical cloud platform, and present a framework for benchmarking its runtime performance.
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