Improved Quantum State Tomography for the Systems with XX+YY Couplings
and Z Readouts
- URL: http://arxiv.org/abs/2006.15872v2
- Date: Tue, 20 Oct 2020 01:37:05 GMT
- Title: Improved Quantum State Tomography for the Systems with XX+YY Couplings
and Z Readouts
- Authors: Tao Xin
- Abstract summary: I propose an improved quantum state tomography (QST) using 2-qubit evolutions as the readout operations.
I respectively apply the new scheme on SQC systems with the Nearest-Neighbor, 2-Dimensional, and All-to-All connectivities on qubits.
It is found that, the new scheme has good implementability and it can achieve comparable or even better accuracy than the traditional scheme.
- Score: 0.20305676256390928
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum device characterization via state tomography plays an important role
in both validating quantum hardware and processing quantum information, but it
needs the exponential number of the measurements. For the systems with
XX+YY-type couplings and Z readouts, such as superconducting quantum computing
(SQC) systems, traditional quantum state tomography (QST) using single-qubit
readout operations at least requires $3^n$ measurement settings in
reconstructing an $n$-qubit state. In this work, I proposed an improved QST by
adding 2-qubit evolutions as the readout operations and obtained an optimal
tomographic scheme using the integer programming optimization. I respectively
apply the new scheme on SQC systems with the Nearest-Neighbor, 2-Dimensional,
and All-to-All connectivities on qubits. It shows that this method can reduce
the number of measurements by over 60% compared with the traditional QST.
Besides, comparison with the traditional scheme in the experimental feasibility
and robustness against errors were made by numerical simulation. It is found
that, the new scheme has good implementability and it can achieve comparable or
even better accuracy than the traditional scheme. It is expected that the
experimentalist from the related fields can directly utilize the ready-made
results for reconstructing quantum states involved in their research.
Related papers
- Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers [37.69303106863453]
We propose a state preparation method based on coupled cluster (CC) theory, which is a pillar of quantum chemistry on classical computers.
Our approach leads to a reduction of the classical computation overhead, and the number of CNOT and T gates by 28% and 57% on average.
arXiv Detail & Related papers (2024-06-17T14:10:10Z) - A Quantum-Classical Collaborative Training Architecture Based on Quantum
State Fidelity [50.387179833629254]
We introduce a collaborative classical-quantum architecture called co-TenQu.
Co-TenQu enhances a classical deep neural network by up to 41.72% in a fair setting.
It outperforms other quantum-based methods by up to 1.9 times and achieves similar accuracy while utilizing 70.59% fewer qubits.
arXiv Detail & Related papers (2024-02-23T14:09:41Z) - Sparse Quantum State Preparation for Strongly Correlated Systems [0.0]
In principle, the encoding of the exponentially scaling many-electron wave function onto a linearly scaling qubit register offers a promising solution to overcome the limitations of traditional quantum chemistry methods.
An essential requirement for ground state quantum algorithms to be practical is the initialisation of the qubits to a high-quality approximation of the sought-after ground state.
Quantum State Preparation (QSP) allows the preparation of approximate eigenstates obtained from classical calculations, but it is frequently treated as an oracle in quantum information.
arXiv Detail & Related papers (2023-11-06T18:53:50Z) - A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep
Learning on NISQ Devices [12.873184000122542]
This paper proposes a novel spatial-temporal design, namely ST-VQC, to integrate non-linearity in quantum learning.
ST-VQC can achieve over 30% accuracy improvement compared with existing VQCs on actual quantum computers.
arXiv Detail & Related papers (2023-07-19T06:17:16Z) - Compilation of algorithm-specific graph states for quantum circuits [55.90903601048249]
We present a quantum circuit compiler that prepares an algorithm-specific graph state from quantum circuits described in high level languages.
The computation can then be implemented using a series of non-Pauli measurements on this graph state.
arXiv Detail & Related papers (2022-09-15T14:52:31Z) - Decomposition of Matrix Product States into Shallow Quantum Circuits [62.5210028594015]
tensor network (TN) algorithms can be mapped to parametrized quantum circuits (PQCs)
We propose a new protocol for approximating TN states using realistic quantum circuits.
Our results reveal one particular protocol, involving sequential growth and optimization of the quantum circuit, to outperform all other methods.
arXiv Detail & Related papers (2022-09-01T17:08:41Z) - QSAN: A Near-term Achievable Quantum Self-Attention Network [73.15524926159702]
Self-Attention Mechanism (SAM) is good at capturing the internal connections of features.
A novel Quantum Self-Attention Network (QSAN) is proposed for image classification tasks on near-term quantum devices.
arXiv Detail & Related papers (2022-07-14T12:22:51Z) - Experimental single-setting quantum state tomography [2.510118175122992]
Quantum computers solve ever more complex tasks using steadily growing system sizes.
Gold-standard is quantum state tomography (QST), capable of fully reconstructing a quantum state without prior knowledge.
We demonstrate a scalable and practical QST approach that uses a single measurement setting.
arXiv Detail & Related papers (2022-05-31T18:00:04Z) - Adaptive Quantum State Tomography with Active Learning [0.0]
We propose and implement an efficient scheme for quantum state tomography using active learning.
We apply the scheme to reconstruct different multi-qubit states with varying degree of entanglement as well as to ground states of the XXZ model in 1D and a kinetically constrained spin chain.
Our scheme is highly relevant to gain physical insights in quantum many-body systems as well as for benchmarking and characterizing quantum devices.
arXiv Detail & Related papers (2022-03-29T16:23:10Z) - Optimal Quantum State Tomography with Noisy Gates [0.0]
An optimal minimal set of measurement operators for QST has eigenbases which are mutually unbiased.
In other set-ups, dependent on the rank of the projection operators and the size of the quantum system, the optimal choice of measurements for efficient QST needs to be numerically approximated.
Here we extend customized QST and look for the optimal measurement set for QST in the case where some of the quantum gates applied in the measurement process are noisy.
arXiv Detail & Related papers (2022-03-10T23:35:26Z) - A quantum processor based on coherent transport of entangled atom arrays [44.62475518267084]
We show a quantum processor with dynamic, nonlocal connectivity, in which entangled qubits are coherently transported in a highly parallel manner.
We use this architecture to realize programmable generation of entangled graph states such as cluster states and a 7-qubit Steane code state.
arXiv Detail & Related papers (2021-12-07T19:00:00Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.