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Phillip Kaye

Publications and source records attributed to Phillip Kaye.

5 recordsLinked to original sources

Cooling algorithms based on the 3-bit majority

Algorithmic cooling is a potentially important technique for making scalable NMR quantum computation feasible in practice. Given the constraints imposed by this approach to quantum computing, the most likely cooling algorithms to be practicable are those based on simple reversible polarization compression (RPC) operations acting locally on small numbers of bits. Several different algorithms using 2- and 3-bit RPC operations have appeared in the literature, and these are the algorithms I consider in this note. Specifically, I show that the RPC operation used in all these algorithms is essentially a majority vote of 3 bits, and prove the optimality of the best such algorithm. I go on to derive some theoretical bounds on the performance of these algorithms under some specific assumptions about errors.

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Reversible addition circuit using one ancillary bit with application to quantum computing

Most of the work on implementing arithmetic on a quantum computer has borrowed from results in classical reversible computing (e.g. [VBE95], [BBF02], [DKR04]). These quantum networks are inherently classical, as they can be implemented with only the Toffoli gate. Draper [D00] has proposed an inherently "quantum" network for addition based on the quantum Fourier transform. His approach has the advantage that it requires no carry qubits (the previous approaches required O(n) carry qubits). The network in [D00] uses quantum rotation gates, which must either be implemented with exponential precision, or else be approximated. In this paper I give a network of O(n^3) Toffoli gates for reversibly performing in-place addition with only a single ancillary bit, demonstrating that inherently quantum techniques are not required to achieve this goal (provided we are willing to sacrifice quadratic circuit depth). After posting the original version of this note it was pointed out to me by C. Zalka that essentially the same technique for addition was used in [BCD+96]. The scenario in that paper was different, but it is clear how the technique they described generalizes to that in this paper.

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Quantum Networks for Generating Arbitrary Quantum States

Quantum protocols often require the generation of specific quantum states. We describe a quantum algorithm for generating any prescribed quantum state. For an important subclass of states, including pure symmetric states, this algorithm is efficient.

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Optimized quantum implementation of elliptic curve arithmetic over binary fields

Shor's quantum algorithm for discrete logarithms applied to elliptic curve groups forms the basis of a "quantum attack" of elliptic curve cryptosystems. To implement this algorithm on a quantum computer requires the efficient implementation of the elliptic curve group operation. Such an implementation requires we be able to compute inverses in the underlying field. In [PZ03], Proos and Zalka show how to implement the extended Euclidean algorithm to compute inverses in the prime field GF(p). They employ a number of optimizations to achieve a running time of O(n^2), and a space-requirement of O(n) qubits (there are some trade-offs that they make, sacrificing a few extra qubits to reduce running-time). In practice, elliptic curve cryptosystems often use curves over the binary field GF(2^m). In this paper, we show how to implement the extended Euclidean algorithm for polynomials to compute inverses in GF(2^m). Working under the assumption that qubits will be an `expensive' resource in realistic implementations, we optimize specifically to reduce the qubit space requirement, while keeping the running-time polynomial. Our implementation here differs from that in [PZ03] for GF(p), and we are able to take advantage of some properties of the binary field GF(2^m). We also optimize the overall qubit space requirement for computing the group operation for elliptic curves over GF(2^m) by decomposing the group operation to make it "piecewise reversible" (similar to what is done in [PZ03] for curves over GF(p)).

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Quantum Networks for Concentrating Entanglement

If two parties, Alice and Bob, share some number, n, of partially entangled pairs of qubits, then it is possible for them to concentrate these pairs into some smaller number of maximally entangled states. We present a simplified version of the algorithm for such entanglement concentration, and we describe efficient networks for implementing these operations.

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