New research maps optimal performance for cavity-mediated two-qubit gates using quantum simulations, essential for scalable ...
This benchmark tests quantum algorithms—cooling, adiabatic, and optimization—with realistic noise, using quadratic fermionic ...
Researchers combined greedy kernel interpolation with trainable deep kernels and found the resulting models matched or beat ...
Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials ...
This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...
A large team of researchers working with Google Inc. and affiliated with a host of institutions in the U.S., one in Germany and one in the Netherlands has implemented a quantum approximate ...
The Quantum Approximate Optimization Algorithm (QAOA) represents a leading framework for addressing combinatorial optimisation problems on near-term quantum devices. By alternating between a cost ...
Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate matrix ...
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