Quantum theory of computation establishes that there are problems for which quantum algorithms are far more efficient than their classical counterpart. Advances in quantum computing have initiated the design of systems based on quantum logic gates. Quantum computer hardware being primarily available in research laboratories at present, it mandates the ability to design, develop and test quantum...

In order to design a quantum circuit that performs a desired quantum computation, it is necessary to find a decomposition of the unitary matrix that represents that computation in terms of a sequence of quantum gate operations. To date, such designs have either been found by hand or by exhaustive enumeration of all possible circuit topologies. In this paper we propose an automated approach to q...

Noisy intermediate-scale quantum computers are useful for various tasks such as state preparation and variational algorithms. However, the non-Euclidean geometry of parameterized circuits is detrimental these applications. Here we introduce natural circuit (NPQC) that can be initialized with a Euclidean geometry. The initial training algorithms substantially sped up gradient equivalent to gradi...

Unlike fixed designs, programmable circuit designs support an infinite number of operators. The functionality of a programmable circuit can be altered by simply changing the angle values of the rotation gates in the circuit. Here, we present a new quantum circuit design technique resulting in two general programmable circuit schemes. The circuit schemes can be used to simulate any given operato...

This article explores search strategies for the design of parameterized quantum circuits. We propose several optimization approaches including random plus survival fittest, reinforcement learning both with classical and hybrid controllers, Bayesian as decision makers to a circuit in an automated way specific task such multi-labeled classification over dataset. introduce nontrivial architectures...

Near-critical quantum circuits close to equilibrium are ideal physical systems for asymptotically large-scale quantum computers, because their low energy collective excitations evolve reversibly, effectively isolated from microscopic environmental fluctuations by the renormalization group. Entropy flows in near-critical quantum circuits near equilibrium as a locally conserved quantum current, o...