34,897 research outputs found
Quantum gate characterization in an extended Hilbert space
We describe an approach for characterizing the process of quantum gates using
quantum process tomography, by first modeling them in an extended Hilbert
space, which includes non-qubit degrees of freedom. To prevent unphysical
processes from being predicted, present quantum process tomography procedures
incorporate mathematical constraints, which make no assumptions as to the
actual physical nature of the system being described. By contrast, the
procedure presented here ensures physicality by placing physical constraints on
the nature of quantum processes. This allows quantum process tomography to be
performed using a smaller experimental data set, and produces parameters with a
direct physical interpretation. The approach is demonstrated by example of
mode-matching in an all-optical controlled-NOT gate. The techniques described
are non-specific and could be applied to other optical circuits or quantum
computing architectures.Comment: 4 pages, 2 figures, REVTeX (published version
Cnot circuit extraction for topologically-constrained quantum memories
Funding Information: We gratefully acknowledge support from the Unitary Fund (http://unitary.fund) for this work. We would also like to thank Will Zeng, Ross Duncan, and John van de Wetering for fruitful discussions about circuit mapping for NISQ as well as the authors of [22] for clarifying some points about their approach. Publisher Copyright: © Rinton Press.Many physical implementations of quantum computers impose stringent memory constraints in which 2-qubit operations can only be performed between qubits which are nearest neighbours in a lattice or graph structure. Hence, before a computation can be run on such a device, it must be mapped onto the physical architecture. That is, logical qubits must be assigned physical locations in the quantum memory, and the circuit must be replaced by an equivalent one containing only operations between nearest neighbours. In this paper, we give a new technique for quantum circuit mapping (a.k.a. routing), based on Gaussian elimination constrained to certain optimal spanning trees called Steiner trees. We give a reference implementation of the technique for CNOT circuits and show that it significantly out-performs general-purpose routines on CNOT circuits. We then comment on how the technique can be extended straightforwardly to the synthesis of CNOT+Rz circuits and as a modification to a recently-proposed circuit simplification/extraction procedure for generic circuits based on the ZX-calculus.Peer reviewe
Cnot circuit extraction for topologically-constrained quantum memories
Funding Information: We gratefully acknowledge support from the Unitary Fund (http://unitary.fund) for this work. We would also like to thank Will Zeng, Ross Duncan, and John van de Wetering for fruitful discussions about circuit mapping for NISQ as well as the authors of [22] for clarifying some points about their approach. Publisher Copyright: © Rinton Press.Many physical implementations of quantum computers impose stringent memory constraints in which 2-qubit operations can only be performed between qubits which are nearest neighbours in a lattice or graph structure. Hence, before a computation can be run on such a device, it must be mapped onto the physical architecture. That is, logical qubits must be assigned physical locations in the quantum memory, and the circuit must be replaced by an equivalent one containing only operations between nearest neighbours. In this paper, we give a new technique for quantum circuit mapping (a.k.a. routing), based on Gaussian elimination constrained to certain optimal spanning trees called Steiner trees. We give a reference implementation of the technique for CNOT circuits and show that it significantly out-performs general-purpose routines on CNOT circuits. We then comment on how the technique can be extended straightforwardly to the synthesis of CNOT+Rz circuits and as a modification to a recently-proposed circuit simplification/extraction procedure for generic circuits based on the ZX-calculus.Peer reviewe
Mapping Quantum Circuits to IBM QX Architectures Using the Minimal Number of SWAP and H Operations
The recent progress in the physical realization of quantum computers (the
first publicly available ones--IBM's QX architectures--have been launched in
2017) has motivated research on automatic methods that aid users in running
quantum circuits on them. Here, certain physical constraints given by the
architectures which restrict the allowed interactions of the involved qubits
have to be satisfied. Thus far, this has been addressed by inserting SWAP and H
operations. However, it remains unknown whether existing methods add a minimum
number of SWAP and H operations or, if not, how far they are away from that
minimum--an NP-complete problem. In this work, we address this by formulating
the mapping task as a symbolic optimization problem that is solved using
reasoning engines like Boolean satisfiability solvers. By this, we do not only
provide a method that maps quantum circuits to IBM's QX architectures with a
minimal number of SWAP and H operations, but also show by experimental
evaluation that the number of operations added by IBM's heuristic solution
exceeds the lower bound by more than 100% on average. An implementation of the
proposed methodology is publicly available at
http://iic.jku.at/eda/research/ibm_qx_mapping
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