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Publication# The Role of Multiplicative Complexity in Compiling Low T-count Oracle Circuits

Abstract

We present a constructive method to create quantum circuits that implement oracles vertical bar x vertical bar y |0 (k) -> vertical bar x vertical bar y circle plus f(x)vertical bar 0 (k) for n-variable Boolean functions f with low T-count. In our method f is given as a 2-regular Boolean logic network over the gate basis {boolean AND,circle plus,1}. Our construction leads to circuits with a T-count that is at most four times the number of AND nodes in the network. In addition, we propose a SAT-based method that allows us to trade qubits for T gates, and explore the space/complexity trade-off of quantum circuits. Our constructive method suggests a new upper bound for the number of T gates and ancilla qubits based on the multiplicative complexity c boolean AND(f) of the oracle function f, which is the minimum number of AND gates that is required to realize f over the gate basis {boolean AND,circle plus,1}. There exists a quantum circuit computing f with at most 4c(boolean AND)(f) T gates using k=c(boolean AND)(f) ancillae. Results known for the multiplicative complexity of Boolean functions can be transferred. We verify our method by comparing it to different state-of-the-art compilers. Finally, we present our synthesis results for Boolean functions used in quantum cryptoanalysis.

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In quantum computing and specifically the quantum circuit model of computation, a quantum logic gate (or simply quantum gate) is a basic quantum circuit operating on a small number of qubits. They are the building blocks of quantum circuits, like classical logic gates are for conventional digital circuits. Unlike many classical logic gates, quantum logic gates are reversible. It is possible to perform classical computing using only reversible gates.

Quantum circuit

In quantum information theory, a quantum circuit is a model for quantum computation, similar to classical circuits, in which a computation is a sequence of quantum gates, measurements, initializations of qubits to known values, and possibly other actions. The minimum set of actions that a circuit needs to be able to perform on the qubits to enable quantum computation is known as DiVincenzo's criteria. Circuits are written such that the horizontal axis is time, starting at the left hand side and ending at the right.

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