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      Complex instruction set computing architecture for performing accurate quantum \(Z\) rotations with less magic

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          Abstract

          We present quantum protocols for executing arbitrarily accurate \(\pi/2^k\) rotations of a qubit about its \(Z\) axis. Reduced instruction set computing (\textsc{risc}) architectures typically restrict the instruction set to stabilizer operations and a single non-stabilizer operation, such as preparation of a "magic" state from which \(T = Z(\pi/4)\) gates can be teleported. Although the overhead required to distill high-fidelity copies of this magic state is high, the subsequent quantum compiling overhead to realize \(Z\) rotations in a \textsc{risc} architecture can be much greater. We develop a complex instruction set computing (\textsc{cisc}) architecture whose instruction set includes stabilizer operations and preparation of magic states from which \(Z(\pi/2^k)\) gates can be teleported, for \(2 \leq k \leq k_{\text{max}}\). This results in a substantial overall reduction in the number of gates required to achieve a desired gate accuracy for \(Z\) rotations. The key to our construction is a family of shortened quantum Reed-Muller codes of length \(2^{k+2}-1\), whose magic-state distillation threshold shrinks with \(k\) but is greater than 0.85% for \(k \leq 6\).

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          Most cited references26

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          Scheme for reducing decoherence in quantum computer memory.

          Shor (1995)
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            Good Quantum Error-Correcting Codes Exist

            , (2009)
            A quantum error-correcting code is defined to be a unitary mapping (encoding) of k qubits (2-state quantum systems) into a subspace of the quantum state space of n qubits such that if any t of the qubits undergo arbitrary decoherence, not necessarily independently, the resulting n qubits can be used to faithfully reconstruct the original quantum state of the k encoded qubits. Quantum error-correcting codes are shown to exist with asymptotic rate k/n = 1 - 2H(2t/n) where H(p) is the binary entropy function -p log p - (1-p) log (1-p). Upper bounds on this asymptotic rate are given.
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              Surface codes: Towards practical large-scale quantum computation

              This article provides an introduction to surface code quantum computing. We first estimate the size and speed of a surface code quantum computer. We then introduce the concept of the stabilizer, using two qubits, and extend this concept to stabilizers acting on a two-dimensional array of physical qubits, on which we implement the surface code. We next describe how logical qubits are formed in the surface code array and give numerical estimates of their fault-tolerance. We outline how logical qubits are physically moved on the array, how qubit braid transformations are constructed, and how a braid between two logical qubits is equivalent to a controlled-NOT. We then describe the single-qubit Hadamard, S and T operators, completing the set of required gates for a universal quantum computer. We conclude by briefly discussing physical implementations of the surface code. We include a number of appendices in which we provide supplementary information to the main text.
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                Author and article information

                Journal
                13 February 2013
                2013-10-15
                Article
                1302.3240
                92ec0003-5d15-492b-929f-92dfd6197ccb

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                13 pages, 4 figures. Resource metric now non-Clifford states. Comparison now to Meier-Eastin-Knill distillation and (optimal) Selinger compiling. Minor tweaks made to concatenated teleportation analysis
                quant-ph

                Quantum physics & Field theory
                Quantum physics & Field theory

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