We use a combination of analytical and numerical techniques to calculate the noise threshold and resource requirements for a linear optical quantum computing scheme based on parity-state encoding. Parity-state encoding is used at the lowest level of code concatenation in order to efficiently correct errors arising from the inherent nondeterminism of two-qubit linear-optical gates. When combined with teleported error-correction (using either a Steane or Golay code) at higher levels of concatenation, the parity-state scheme is found to achieve a saving of approximately three orders of magnitude in resources when compared to the cluster state scheme, at a cost of a somewhat reduced noise threshold. © 2010 The American Physical Societ
We analyze the resource overhead of recently proposed methods for universal fault-tolerant quantum c...
The experiments described in this thesis form an investigation into the path towards establishing th...
Quantum computing promises a new paradigm of computation where information is processed in a way tha...
We use a combination of analytical and numerical techniques to calculate the noise threshold and res...
A heavy focus for optical quantum computing is the introduction of error correction, and the minimiz...
Quantum computing is an exciting field that promises great improvements to our ability to solve cert...
We present a linear optics quantum computation scheme with a greatly reduced cost in resources compa...
We present a linear optics quantum computation scheme that employs a new encoding approach that incr...
A scheme for linear optical implementation of fault-tolerant quantum computation is proposed, which ...
In this Letter we numerically investigate the fault-tolerant threshold for optical cluster-state qua...
In this paper we do a detailed numerical investigation of the fault-tolerant threshold for optical c...
Quantum computing using two coherent states as a qubit basis is a proposed alternative architecture ...
We present a linear optics quantum computation scheme that employs an incremental parity encoding ap...
We previously established that in principle, it is possible to quantum compute using passive linear ...
Qubit loss and gate failure are significant problems for the development of scalable quantum computi...
We analyze the resource overhead of recently proposed methods for universal fault-tolerant quantum c...
The experiments described in this thesis form an investigation into the path towards establishing th...
Quantum computing promises a new paradigm of computation where information is processed in a way tha...
We use a combination of analytical and numerical techniques to calculate the noise threshold and res...
A heavy focus for optical quantum computing is the introduction of error correction, and the minimiz...
Quantum computing is an exciting field that promises great improvements to our ability to solve cert...
We present a linear optics quantum computation scheme with a greatly reduced cost in resources compa...
We present a linear optics quantum computation scheme that employs a new encoding approach that incr...
A scheme for linear optical implementation of fault-tolerant quantum computation is proposed, which ...
In this Letter we numerically investigate the fault-tolerant threshold for optical cluster-state qua...
In this paper we do a detailed numerical investigation of the fault-tolerant threshold for optical c...
Quantum computing using two coherent states as a qubit basis is a proposed alternative architecture ...
We present a linear optics quantum computation scheme that employs an incremental parity encoding ap...
We previously established that in principle, it is possible to quantum compute using passive linear ...
Qubit loss and gate failure are significant problems for the development of scalable quantum computi...
We analyze the resource overhead of recently proposed methods for universal fault-tolerant quantum c...
The experiments described in this thesis form an investigation into the path towards establishing th...
Quantum computing promises a new paradigm of computation where information is processed in a way tha...