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Programmable Quantum Processors

可编程量子处理器

基本信息

批准号：
0139692
负责人：
Mark Hillery
金额：
$ 6万
依托单位：
CUNY Hunter College
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2002
资助国家：
美国
起止时间：
2002-07-01 至 2005-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0139692&HistoricalAwards=false
关键词：
Programmable Quantum Processors

项目摘要

0139692 HilleryQuantum information is a new field that studies the representation and processing of information by quantum mechanical systems. Present computers, which are classical devices, represent information by bits, which can be either 0 or 1. A quantum computer represents information by qubits, which have the potential to be 0 and 1 simultaneously. This leads to profound differences in what can be done with classical and quantum information. In this project we will study programmable quantum information processing logic circuits. Most of the quantum circuits that have been proposed so far perform a single task. It is essential to go beyond this and to be able to design circuits with two inputs, one the data to be acted upon and the second, the program, that encodes the operation be performed. Both the data and the program are quantum states. These circuits can be either deterministic, succeeding in performing the desired operation all of the time, or probabilistic, performing the operation only some of the time. Probabilistic circuits can perform a much larger class of operations than can deterministic ones. We want to study how one can design circuits to perform specific sets of operations, how these operations are to best be encoded into quantum states, and how to optimize the probability of successfully performing the desired operation in a probabilistic processor.

0139692希勒里量子信息是一个新的领域，研究信息的表示和处理的量子力学系统。目前的计算机是典型的设备，用比特来表示信息，比特可以是0也可以是1。量子计算机通过量子比特来表示信息，量子比特有可能同时为0和1。这就导致了经典信息和量子信息的巨大差异。在这个项目中，我们将研究可编程量子信息处理逻辑电路。到目前为止，大多数已经提出的量子电路都执行单一任务。必须超越这一点，能够设计具有两个输入的电路，一个是要处理的数据，第二个是对要执行的操作进行编码的程序。数据和程序都是量子态。这些电路可以是确定性的，在所有的时间成功地执行所需的操作，或概率性的，执行操作只有一些时间。概率电路可以执行的运算种类比确定性电路多得多。我们希望研究如何设计电路来执行特定的操作集，如何将这些操作最好地编码到量子态中，以及如何优化在概率处理器中成功执行所需操作的概率。