Edwin Pednault
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View article: Active learning of quantum system Hamiltonians yields query advantage
Active learning of quantum system Hamiltonians yields query advantage Open
Hamiltonian learning is an important procedure in quantum system identification, calibration, and successful operation of quantum computers. Through queries to the quantum system, this procedure seeks to obtain the parameters of a given Ha…
View article: An alternative approach to optimal wire cutting without ancilla qubits
An alternative approach to optimal wire cutting without ancilla qubits Open
Wire cutting is a technique for partitioning large quantum circuits into smaller subcircuits in such a way that observables for the original circuits can be estimated from measurements on the smaller subcircuits. Such techniques provide wo…
View article: Active Learning of Quantum System Hamiltonians yields Query Advantage
Active Learning of Quantum System Hamiltonians yields Query Advantage Open
Hamiltonian learning is an important procedure in quantum system identification, calibration, and successful operation of quantum computers. Through queries to the quantum system, this procedure seeks to obtain the parameters of a given Ha…
View article: Leveraging Secondary Storage to Simulate Deep 54-qubit Sycamore Circuits
Leveraging Secondary Storage to Simulate Deep 54-qubit Sycamore Circuits Open
In a recent paper, we showed that secondary storage can extend the range of quantum circuits that can be practically simulated with classical algorithms. Here we refine those techniques and apply them to the simulation of Sycamore circuits…
View article: Pareto-Efficient Quantum Circuit Simulation Using Tensor Contraction Deferral
Pareto-Efficient Quantum Circuit Simulation Using Tensor Contraction Deferral Open
With the current rate of progress in quantum computing technologies, systems with more than 50 qubits will soon become reality. Computing ideal quantum state amplitudes for circuits of such and larger sizes is a fundamental step to assess …