01289nas a2200169 4500008004100000245004100041210004100082260001400123520084200137100002300979700001601002700001801018700001201036700001701048700001701065856003701082 2023 eng d00aStreaming quantum state purification0 aStreaming quantum state purification c9/28/20233 a

Quantum state purification is the task of recovering a nearly pure copy of an unknown pure quantum state using multiple noisy copies of the state. This basic task has applications to quantum communication over noisy channels and quantum computation with imperfect devices, but has only been studied previously for the case of qubits. We derive an efficient purification procedure based on the swap test for qudits of any dimension, starting with any initial error parameter. Treating the initial error parameter and the dimension as constants, we show that our procedure has sample complexity asymptotically optimal in the final error parameter. Our protocol has a simple recursive structure that can be applied when the states are provided one at a time in a streaming fashion, requiring only a small quantum memory to implement.

1 aChilds, Andrew, M.1 aFu, Honghao1 aLeung, Debbie1 aLi, Zhi1 aOzols, Maris1 aVyas, Vedang uhttps://arxiv.org/abs/2309.1638701772nas a2200169 4500008004100000245006700041210006600108260001300174490000800187520126400195100002001459700001901479700002301498700002501521700001901546856003701565 2020 eng d00aSignaling and Scrambling with Strongly Long-Range Interactions0 aSignaling and Scrambling with Strongly LongRange Interactions c7/8/20200 v1023 a

Strongly long-range interacting quantum systems---those with interactions decaying as a power-law 1/rα in the distance r on a D-dimensional lattice for α≤D---have received significant interest in recent years. They are present in leading experimental platforms for quantum computation and simulation, as well as in theoretical models of quantum information scrambling and fast entanglement creation. Since no notion of locality is expected in such systems, a general understanding of their dynamics is lacking. As a first step towards rectifying this problem, we prove two new Lieb-Robinson-type bounds that constrain the time for signaling and scrambling in strongly long-range interacting systems, for which no tight bounds were previously known. Our first bound applies to systems mappable to free-particle Hamiltonians with long-range hopping, and is saturable for α≤D/2. Our second bound pertains to generic long-range interacting spin Hamiltonians, and leads to a tight lower bound for the signaling time to extensive subsets of the system for all α<D. This result also lower-bounds the scrambling time, and suggests a path towards achieving a tight scrambling bound that can prove the long-standing fast scrambling conjecture. 

1 aGuo, Andrew, Y.1 aTran, Minh, C.1 aChilds, Andrew, M.1 aGorshkov, Alexey, V.1 aGong, Zhe-Xuan uhttps://arxiv.org/abs/1906.0266201555nas a2200169 4500008004100000245005500041210005300096260001400149520105800163100002201221700002301243700001901266700002401285700002101309700001801330856003701348 2020 eng d00aSymmetries, graph properties, and quantum speedups0 aSymmetries graph properties and quantum speedups c6/23/20203 a

Aaronson and Ambainis (2009) and Chailloux (2018) showed that fully symmetric (partial) functions do not admit exponential quantum query speedups. This raises a natural question: how symmetric must a function be before it cannot exhibit a large quantum speedup?
In this work, we prove that hypergraph symmetries in the adjacency matrix model allow at most a polynomial separation between randomized and quantum query complexities. We also show that, remarkably, permutation groups constructed out of these symmetries are essentially the only permutation groups that prevent super-polynomial quantum speedups. We prove this by fully characterizing the primitive permutation groups that allow super-polynomial quantum speedups.
In contrast, in the adjacency list model for bounded-degree graphs (where graph symmetry is manifested differently), we exhibit a property testing problem that shows an exponential quantum speedup. These results resolve open questions posed by Ambainis, Childs, and Liu (2010) and Montanaro and de Wolf (2013).

1 aBen-David, Shalev1 aChilds, Andrew, M.1 aGilyen, Andras1 aKretschmer, William1 aPodder, Supartha1 aWang, Daochen uhttps://arxiv.org/abs/2006.1276001120nas a2200181 4500008004100000245006700041210006700108260001500175300001100190490000800201520058500209100002300794700002300817700001900840700001900859700002300878856003700901 2015 eng d00aSimulating Hamiltonian dynamics with a truncated Taylor series0 aSimulating Hamiltonian dynamics with a truncated Taylor series c2015/03/03 a0905020 v1143 a We describe a simple, efficient method for simulating Hamiltonian dynamics on a quantum computer by approximating the truncated Taylor series of the evolution operator. Our method can simulate the time evolution of a wide variety of physical systems. As in another recent algorithm, the cost of our method depends only logarithmically on the inverse of the desired precision, which is optimal. However, we simplify the algorithm and its analysis by using a method for implementing linear combinations of unitary operations to directly apply the truncated Taylor series. 1 aBerry, Dominic, W.1 aChilds, Andrew, M.1 aCleve, Richard1 aKothari, Robin1 aSomma, Rolando, D. uhttp://arxiv.org/abs/1412.4687v101146nas a2200133 4500008004100000245007200041210006900113260001400182490000700196520073500203100002300938700001400961856003700975 2014 eng d00aSpatial search by continuous-time quantum walks on crystal lattices0 aSpatial search by continuoustime quantum walks on crystal lattic c2014/5/300 v893 a We consider the problem of searching a general $d$-dimensional lattice of $N$ vertices for a single marked item using a continuous-time quantum walk. We demand locality, but allow the walk to vary periodically on a small scale. By constructing lattice Hamiltonians exhibiting Dirac points in their dispersion relations and exploiting the linear behaviour near a Dirac point, we develop algorithms that solve the problem in a time of $O(\sqrt N)$ for $d>2$ and $O(\sqrt N \log N)$ in $d=2$. In particular, we show that such algorithms exist even for hypercubic lattices in any dimension. Unlike previous continuous-time quantum walk algorithms on hypercubic lattices in low dimensions, our approach does not use external memory. 1 aChilds, Andrew, M.1 aGe, Yimin uhttp://arxiv.org/abs/1403.2676v201041nas a2200121 4500008004100000245006000041210006000101260001500161520066400176100002300840700001900863856003700882 2010 eng d00aSimulating sparse Hamiltonians with star decompositions0 aSimulating sparse Hamiltonians with star decompositions c2010/03/183 a We present an efficient algorithm for simulating the time evolution due to a sparse Hamiltonian. In terms of the maximum degree d and dimension N of the space on which the Hamiltonian H acts for time t, this algorithm uses (d^2(d+log* N)||Ht||)^{1+o(1)} queries. This improves the complexity of the sparse Hamiltonian simulation algorithm of Berry, Ahokas, Cleve, and Sanders, which scales like (d^4(log* N)||Ht||)^{1+o(1)}. To achieve this, we decompose a general sparse Hamiltonian into a small sum of Hamiltonians whose graphs of non-zero entries have the property that every connected component is a star, and efficiently simulate each of these pieces. 1 aChilds, Andrew, M.1 aKothari, Robin uhttp://arxiv.org/abs/1003.3683v200967nas a2200133 4500008004100000245004200041210004200083260001500125490000700140520059600147100002300743700002300766856004400789 2004 eng d00aSpatial search and the Dirac equation0 aSpatial search and the Dirac equation c2004/10/190 v703 a We consider the problem of searching a d-dimensional lattice of N sites for a single marked location. We present a Hamiltonian that solves this problem in time of order sqrt(N) for d>2 and of order sqrt(N) log(N) in the critical dimension d=2. This improves upon the performance of our previous quantum walk search algorithm (which has a critical dimension of d=4), and matches the performance of a corresponding discrete-time quantum walk algorithm. The improvement uses a lattice version of the Dirac Hamiltonian, and thus requires the introduction of spin (or coin) degrees of freedom. 1 aChilds, Andrew, M.1 aGoldstone, Jeffrey uhttp://arxiv.org/abs/quant-ph/0405120v101263nas a2200133 4500008004100000245003500041210003500076260001400111490000700125520090700132100002301039700002301062856004401085 2004 eng d00aSpatial search by quantum walk0 aSpatial search by quantum walk c2004/8/230 v703 a Grover's quantum search algorithm provides a way to speed up combinatorial search, but is not directly applicable to searching a physical database. Nevertheless, Aaronson and Ambainis showed that a database of N items laid out in d spatial dimensions can be searched in time of order sqrt(N) for d>2, and in time of order sqrt(N) poly(log N) for d=2. We consider an alternative search algorithm based on a continuous time quantum walk on a graph. The case of the complete graph gives the continuous time search algorithm of Farhi and Gutmann, and other previously known results can be used to show that sqrt(N) speedup can also be achieved on the hypercube. We show that full sqrt(N) speedup can be achieved on a d-dimensional periodic lattice for d>4. In d=4, the quantum walk search algorithm takes time of order sqrt(N) poly(log N), and in d<4, the algorithm does not provide substantial speedup. 1 aChilds, Andrew, M.1 aGoldstone, Jeffrey uhttp://arxiv.org/abs/quant-ph/0306054v200953nas a2200109 4500008004100000245004000041210004000081260001500121520064000136100002300776856004400799 2001 eng d00aSecure assisted quantum computation0 aSecure assisted quantum computation c2001/11/073 a Suppose Alice wants to perform some computation that could be done quickly on a quantum computer, but she cannot do universal quantum computation. Bob can do universal quantum computation and claims he is willing to help, but Alice wants to be sure that Bob cannot learn her input, the result of her calculation, or perhaps even the function she is trying to compute. We describe a simple, efficient protocol by which Bob can help Alice perform the computation, but there is no way for him to learn anything about it. We also discuss techniques for Alice to detect whether Bob is honestly helping her or if he is introducing errors. 1 aChilds, Andrew, M. uhttp://arxiv.org/abs/quant-ph/0111046v2