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LEQA: Latency Estimation for a Quantum Algorithm Mapped to a Quantum Circuit Fabric

by Mohammad Javad Dousti , Massoud Pedram - in DAC , 2013
"... ABSTRACT This paper presents LEQA, a fast latency estimation tool for evaluating the performance of a quantum algorithm mapped to a quantum fabric. The actual quantum algorithm latency can be computed by performing detailed scheduling, placement and routing of the quantum instructions and qubits in ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
ABSTRACT This paper presents LEQA, a fast latency estimation tool for evaluating the performance of a quantum algorithm mapped to a quantum fabric. The actual quantum algorithm latency can be computed by performing detailed scheduling, placement and routing of the quantum instructions and qubits

Minimizing the Latency of Quantum Circuits during Mapping to the Ion-Trap Circuit Fabric

by Mohammad Javad Dousti, Massoud Pedram
"... Abstract — Quantum computers are exponentially faster than their classical counterparts in terms of solving some specific, but important problems. The biggest challenge in realizing a quantum computing system is the environmental noise. One way to decrease the effect of noise (and hence, reduce the ..."
Abstract - Cited by 5 (4 self) - Add to MetaCart
the overhead of building fault tolerant quantum circuits) is to reduce the latency of the quantum circuit that runs on a quantum circuit. In this paper, a novel algorithm is presented for scheduling, placement, and routing of a quantum algorithm, which is to be realized on a target quantum circuit fabric

Squash: A Scalable Quantum Mapper Considering Ancilla Sharing

by Mohammad Javad Dousti, Alireza Shafaei, Massoud Pedram
"... Quantum algorithms for solving problems of interesting size often result in circuits with a very large number of qubits and quantum gates. Fortunately, these algorithms also tend to contain a small number of repetitively-used quantum kernels. Identifying the quantum logic blocks that implement such ..."
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qubits among quantum operations (even though this sharing can increase the overall circuit latency) is important in order to curb the resource demand of the quantum algorithm. This paper presents a multi-core reconfigurable quantum processor architecture, called Requp, which supports a layered approach

EFFICIENT IMAGE RECONSTRUCTION FOR GIGAPIXEL QUANTUM IMAGE SENSORS

by Stanley H Chan , Yue M Lu
"... ABSTRACT Recent advances in materials, devices and fabrication technologies have motivated a strong momentum in developing solid-state sensors that can detect individual photons in space and time. It has been envisioned that such sensors can eventually achieve very high spatial resolutions (e.g., 1 ..."
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the computationally intensive optimization problem into a sequence of subproblems, each of which has efficient implementations in the form of polyphase-domain filtering or pixel-wise nonlinear mappings. Moreover, we reformulate the original maximum likelihood estimation as maximum a posterior estimation

A Fault Tolerant, Area Efficient Architecture for Shor’s Factoring Algorithm

by Mark G. Whitney, Nemanja Isailovic, Yatish Patel, John Kubiatowicz
"... We optimize the area and latency of Shor’s factoring while simultaneously improving fault tolerance through: (1) balancing the use of ancilla generators, (2) aggressive optimization of error correction, and (3) tuning the core adder circuits. Our custom CAD flow produces detailed layouts of the phys ..."
Abstract - Cited by 15 (3 self) - Add to MetaCart
of the physical components and utilizes simulation to analyze circuits in terms of area, latency, and success probability. We introduce a metric, called ADCR, which is the probabilistic equivalent of the classic Area-Delay product. Our error correction optimization can reduce ADCR by an order of magnitude or more

The Datacenter as a Computer An Introduction to the Design of Warehouse-Scale Machinesiii Synthesis Lectures on Computer Architecture Editor

by unknown authors
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The Datacenter as a Computer An Introduction to the Design of Warehouse-Scale Machinesiii Synthesis Lectures on Computer Architecture Editor

by unknown authors
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The Datacenter as a Computer An Introduction to the Design of Warehouse-Scale Machinesiii Synthesis Lectures on Computer Architecture Editor

by unknown authors
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unknown title

by S|i Measureh H
"... In this lecture, we will see how to use the phase estimation circuit to perform factoring (Kitaev's algorithm)and Quantum Fourier Transform modulo an arbitrary positive integer. We will then use the latter to describe Shor's quantum algorithm for the Discrete Log Problem. 7.1 Phase Estimat ..."
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In this lecture, we will see how to use the phase estimation circuit to perform factoring (Kitaev's algorithm)and Quantum Fourier Transform modulo an arbitrary positive integer. We will then use the latter to describe Shor's quantum algorithm for the Discrete Log Problem. 7.1 Phase

Physics

by Daniel Alexander Pertot, Jacobus Verbaarschot, Two-component Bosons In, Daniel Alexander Pertot , 2011
"... Ultracold atoms in optical lattices provide a highly control-lable environment for the clean experimental realization of various model Hamiltonians from condensed matter and statistical physics. For example, the two-component Bose-Hubbard model, which re-duces to an anisotropic spin-1/2 Heisenberg m ..."
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model in a certain limit and thus allows for the study of quantum magnetism, can be im-plemented by using bosons with two different internal states that couple differently to an optical lattice potential. In this thesis, I present our first experiments with two-component hyperfine-state mixtures
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