Unitarization Through Approximate Basis
Joshua Cook

TL;DR
This paper introduces an approximate method for unitarization of quantum circuits by constructing an orthonormal basis for given quantum states, enabling the transformation of non-orthogonal states into a unitary operation.
Contribution
It presents a polynomial-time quantum algorithm to approximately orthogonalize quantum states using oracle access, extending the Gram-Schmidt process to quantum states.
Findings
Efficient polynomial-time quantum algorithm for approximate basis construction.
Applicable to a logarithmic number of states with high probability.
Provides a quantum analogue of Gram-Schmidt orthogonalization.
Abstract
We introduce the problem of unitarization. Unitarization is the problem of taking input quantum circuits that produce orthogonal states from the all state, and create an output circuit implementing a unitary with its first columns as those states. That is, the output circuit takes the th computational basis state to the state prepared by the th input circuit. We allow the output circuit to use ancilla qubits initialized to . But ancilla qubits must always be returned to for any input. The input circuits may use ancilla qubits, but we are only guaranteed the they return ancilla qubits to on the all input. The unitarization problem seems hard if the output states are neither orthogonal to or in the span of the computational basis states that need to map to them. In this work, we approximately solve this problem in the case where input circuits are given…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum-Dot Cellular Automata
