User profiles for A.M. Childs
Andrew M. ChildsJoint Center for Quantum Information and Computer Science, University of Maryland Verified email at umd.edu Cited by 15649 |
Quantum algorithms for algebraic problems
… , a quantum computer can naturally represent those amplitudes using only n quantum bits.
Thus… used to demonstrate exponential speedup of quantum over classical computation Childs …
Thus… used to demonstrate exponential speedup of quantum over classical computation Childs …
Universal computation by quantum walk
AM Childs - Physical review letters, 2009 - APS
In some of the earliest work on quantum computing, Feynman showed how to implement
universal quantum computation with a time-independent Hamiltonian. I show that this remains …
universal quantum computation with a time-independent Hamiltonian. I show that this remains …
Exponential algorithmic speedup by a quantum walk
… We define this formally for trees T in which each internal vertex has two children (it will
not be necessary to consider others). A random embedding is obtained as follows: …
not be necessary to consider others). A random embedding is obtained as follows: …
On the receiving end V: patient perceptions of the side effects of cancer chemotherapy in 1993
Background A study conducted in 1983 to identify and rank the symptoms experienced by
patients receiving cancer chemotherapy reported that vomiting and nausea were the most …
patients receiving cancer chemotherapy reported that vomiting and nausea were the most …
Spatial search by quantum walk
AM Childs, J Goldstone - Physical Review A, 2004 - APS
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 …
not directly applicable to searching a physical database. Nevertheless, Aaronson and …
Simulating Hamiltonian dynamics with a truncated Taylor series
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 …
computer by approximating the truncated Taylor series of the evolution operator. Our method …
Quantum algorithm for systems of linear equations with exponentially improved dependence on precision
Harrow, Hassidim, and Lloyd [Phys. Rev. Lett., 103 (2009), 150502] showed that for a suitably
specified $N \times N$ matrix $A$ and an $N$-dimensional vector $\vec{b}$, there is a …
specified $N \times N$ matrix $A$ and an $N$-dimensional vector $\vec{b}$, there is a …
An example of the difference between quantum and classical random walks
In this note, we discuss a general definition of quantum random walks on graphs and illustrate
with a simple graph the possibility of very different behavior between a classical random …
with a simple graph the possibility of very different behavior between a classical random …
Robustness of adiabatic quantum computation
We study the fault tolerance of quantum computation by adiabatic evolution, a quantum
algorithm for solving various combinatorial search problems. We describe an inherent …
algorithm for solving various combinatorial search problems. We describe an inherent …
On the relationship between continuous-and discrete-time quantum walk
AM Childs - Communications in Mathematical Physics, 2010 - Springer
… However, I am not aware of an efficient algorithm to compute even a single nontrivial bit
of information about the Kloosterman sum, such as its sign or whether its magnitude is larger …
of information about the Kloosterman sum, such as its sign or whether its magnitude is larger …