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Quantum computing for finance
Quantum computers are expected to surpass the computational capabilities of classical
computers and have a transformative impact on numerous industry sectors. We present a …
computers and have a transformative impact on numerous industry sectors. We present a …
Challenges and opportunities in quantum optimization
Quantum computers have demonstrable ability to solve problems at a scale beyond brute-
force classical simulation. Interest in quantum algorithms has developed in many areas …
force classical simulation. Interest in quantum algorithms has developed in many areas …
Grover mixers for QAOA: Shifting complexity from mixer design to state preparation
We propose GM-QAOA, a variation of the Quantum Alternating Operator Ansatz (QAOA) that
uses Grover-like selective phase shift mixing operators. GM-QAOA works on any NP …
uses Grover-like selective phase shift mixing operators. GM-QAOA works on any NP …
Biology and medicine in the landscape of quantum advantages
Quantum computing holds substantial potential for applications in biology and medicine,
spanning from the simulation of biomolecules to machine learning methods for subty** …
spanning from the simulation of biomolecules to machine learning methods for subty** …
Opportunities for quantum acceleration of databases: Optimization of queries and transaction schedules
The capabilities of quantum computers, such as the number of supported qubits and
maximum circuit depth, have grown exponentially in recent years. Commercially relevant …
maximum circuit depth, have grown exponentially in recent years. Commercially relevant …
Quantum computing: Lecture notes
R De Wolf - ar** to the end
We present a quantum algorithm that has rigorous runtime guarantees for several families of
binary optimization problems, including Quadratic Unconstrained Binary Optimization …
binary optimization problems, including Quadratic Unconstrained Binary Optimization …