Quantum Approximate Optimization Algorithm

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Quantum Adiabatic Optimization: Combinatorial Problems

Explores Quantum Approximate Optimization Algorithm for solving combinatorial problems efficiently.

Quantum Computational Advantage: Recent Progress and Next Steps

Explores recent progress in quantum computational advantage and discusses the challenges in achieving quantum supremacy.

Density Operator Formalism

Covers the density operator formalism, polynomial time, NP problems, BPP, QMA, and probabilistic algorithms.

Quantum Approximate Optimization Algorithm

Explores the Quantum Approximate Optimization Algorithm and its application in solving optimization problems efficiently using quantum adiabatic evolution.

Theory of Computation: Decidability and Complexity

Delves into the theory of computation, covering decidability, complexity, P vs. NP, and reductions.

NISQ Algorithms and the VQE

Explores NISQ algorithms, with a focus on the VQE method and error mitigation techniques.

IQ Demodulation: FPGA and MATLAB

Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.

Quantum Approximate Optimization Algorithm

Covers the Quantum Approximate Optimization Algorithm, physically inspired unitary coupled cluster ansatz, hardware-efficient ansatz, and variational quantum eigensolver.

Solving Parity Games in Practice

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

Complex Systems: Critical Phenomena

Explores critical phenomena in complex systems, including stochastic objects, percolation, and combinatorial optimization.