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[HTML][HTML] Short-depth QAOA circuits and quantum annealing on higher-order ising models
We present a direct comparison between QAOA (Quantum Alternating Operator Ansatz), and
QA (Quantum Annealing) on 127 qubit problem instances. QAOA with p= 1, 2 rounds is …
QA (Quantum Annealing) on 127 qubit problem instances. QAOA with p= 1, 2 rounds is …
[HTML][HTML] Scaling whole-chip QAOA for higher-order Ising spin glass models on heavy-hex graphs
We show that the quantum approximate optimization algorithm (QAOA) for higher-order,
random coefficient, heavy-hex compatible spin glass Ising models has strong parameter …
random coefficient, heavy-hex compatible spin glass Ising models has strong parameter …
Numerical evidence for exponential speed-up of qaoa over unstructured search for approximate constrained optimization
Despite much recent work, the true promise and limitations of the Quantum Alternating
Operator Ansatz (QAOA)[30] are unclear. A critical question regarding QAOA is to what …
Operator Ansatz (QAOA)[30] are unclear. A critical question regarding QAOA is to what …
High-Round QAOA for MAX -SAT on Trapped Ion NISQ Devices
The Quantum Alternating Operator Ansatz (QAOA) is a hybrid classical-quantum algorithm
that aims to sample the optimal solution (s) of discrete combinatorial optimization problems …
that aims to sample the optimal solution (s) of discrete combinatorial optimization problems …
An expressive ansatz for low-depth quantum optimisation
The Quantum Approximate Optimisation Algorithm (QAOA) is a hybrid quantum-classical
algorithm used to approximately solve combinatorial optimisation problems. It involves …
algorithm used to approximately solve combinatorial optimisation problems. It involves …
Efficient quantum circuits based on the quantum natural gradient
Efficient preparation of arbitrary entangled quantum states is crucial for quantum
computation. This is particularly important for noisy intermediate-scale quantum simulators …
computation. This is particularly important for noisy intermediate-scale quantum simulators …
Lower bounds on number of qaoa rounds required for guaranteed approximation ratios
The quantum alternating operator ansatz (QAOA) is a heuristic hybrid quantum-classical
algorithm for finding high-quality approximate solutions to combinatorial optimization …
algorithm for finding high-quality approximate solutions to combinatorial optimization …
Grover-QAOA for 3-SAT: Quadratic speedup, fair-sampling, and parameter clustering
The SAT problem is a prototypical NP-complete problem of fundamental importance in
computational complexity theory with many applications in science and engineering; as …
computational complexity theory with many applications in science and engineering; as …
Comparing the hardness of MAX 2-SAT problem instances for quantum and classical algorithms
An algorithm for a particular problem may find some instances of the problem easier and
others harder to solve, even for a fixed input size. We numerically analyze the relative …
others harder to solve, even for a fixed input size. We numerically analyze the relative …
JuliQAOA: Fast, Flexible QAOA Simulation
We introduce JuliQAOA, a simulation package specifically built for the Quantum Alternating
Operator Ansatz (QAOA). JuliQAOA does not require a circuit-level description of QAOA …
Operator Ansatz (QAOA). JuliQAOA does not require a circuit-level description of QAOA …