Understanding Quantum Instruments
- URL: http://arxiv.org/abs/2604.18884v2
- Date: Fri, 24 Apr 2026 18:34:56 GMT
- Title: Understanding Quantum Instruments
- Abstract summary: Correctly modeling QIs is essential for applications using MCMs, such as adaptive circuits and quantum error correction.<n>This Note offers practical guidance on understanding and interpreting QI error models.
- Score: 0.304585143845864
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The quantum instrument (QI) formalism is required to model mid-circuit measurements (MCMs) and the dependence of the post-measurement state on the measurement outcome. Correctly modeling QIs is essential for applications using MCMs, such as adaptive circuits and quantum error correction. Although QIs yield a joint quantum-classical state after measurement, errors in QIs can still be represented by a $d^2 \times d^2$ superoperator (e.g., process or transfer matrix) for each outcome, just as superoperators describe Markovian errors on unitary gates. However, because the joint quantum-classical system has a distinct error model for each outcome, this complicates the usual interpretation of process- or transfer-matrix error models. This Note offers practical guidance on understanding and interpreting QI error models.
Related papers
- Quasilinear Equivalence Checking for Detector Error Models [0.0]
A Detector Error Model (DEM) is a structured representation of error mechanisms in quantum circuits.<n>We develop an equational theory for DEMs, with its associated categorical semantics.<n>We provide the first static decision procedure for DEM equivalence, with rigorous correctness guarantees.
arXiv Detail & Related papers (2026-06-12T17:42:16Z) - Detailed, interpretable characterization of mid-circuit measurement on a transmon qubit [0.0]
Mid-circuit measurements (MCMs) are critical components of the quantum error correction protocols.<n>We adapt the error generator formalism -- previously used to interpret noisy quantum gates by decomposing their error processes into physically meaningful sums of "elementary errors"<n>We examine in detail how the magnitudes of these errors vary with the readout pulse amplitude, recover the key features of dispersive readout predicted by theory, and show that these features can be modeled parsimoniously using a reduced model with just a few parameters.
arXiv Detail & Related papers (2026-02-03T19:00:28Z) - A correspondence between quantum error correcting codes and quantum reference frames [0.0]
In a gauge theory, a collection of kinematical degrees of freedom is used to redundantly describe a smaller amount of gauge-invariant information.<n>We elaborate this parallel in terms of quantum reference frames (QRFs), which are a universal toolkit for dealing with symmetries in quantum systems.<n>We show that there is a one-to-one correspondence between maximal correctable error sets and tensor factorizations splitting system from error-generated QRF degrees of freedom.
arXiv Detail & Related papers (2024-12-19T18:52:38Z) - Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits [70.97518416003358]
Variational quantum circuits (VQCs) hold promise for quantum machine learning on noisy intermediate-scale quantum (NISQ) devices.
While tensor-train networks (TTNs) can enhance VQC representation and generalization, the resulting hybrid model, TTN-VQC, faces optimization challenges due to the Polyak-Lojasiewicz (PL) condition.
To mitigate this challenge, we introduce Pre+TTN-VQC, a pre-trained TTN model combined with a VQC.
arXiv Detail & Related papers (2023-05-18T03:08:18Z) - Vulnerability of fault-tolerant topological quantum error correction to quantum deviations in code space [0.0]
We study the performance of the topological toric code in 2D under the dual influence of noise and quantum deviations.<n>We find two distinct error thresholds that demarcate varying efficacies in error correction.<n>For codes of finite or modest distance $d distances, it is revealed that maintaining the preparation error rate beneath a crossover scale, proportional to $1/log d, allows for the suppression of logical errors.
arXiv Detail & Related papers (2023-01-30T13:12:41Z) - Witnessing entanglement in trapped-ion quantum error correction under
realistic noise [41.94295877935867]
Quantum Error Correction (QEC) exploits redundancy by encoding logical information into multiple physical qubits.
We present a detailed microscopic error model to estimate the average gate infidelity of two-qubit light-shift gates used in trapped-ion platforms.
We then apply this realistic error model to quantify the multipartite entanglement generated by circuits that act as QEC building blocks.
arXiv Detail & Related papers (2022-12-14T20:00:36Z) - Measurement based estimator scheme for continuous quantum error
correction [52.77024349608834]
Canonical discrete quantum error correction (DQEC) schemes use projective von Neumann measurements on stabilizers to discretize the error syndromes into a finite set.
Quantum error correction (QEC) based on continuous measurement, known as continuous quantum error correction (CQEC), can be executed faster than DQEC and can also be resource efficient.
We show that by constructing a measurement-based estimator (MBE) of the logical qubit to be protected, it is possible to accurately track the errors occurring on the physical qubits in real time.
arXiv Detail & Related papers (2022-03-25T09:07:18Z) - The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation
Using Monte Carlo-Based Channel Inversion [84.66087478797475]
Quantum error mitigation (QEM) is a class of promising techniques for reducing the computational error of variational quantum algorithms.
We consider a practical channel inversion strategy based on Monte Carlo sampling, which introduces additional computational error.
We show that when the computational error is small compared to the dynamic range of the error-free results, it scales with the square root of the number of gates.
arXiv Detail & Related papers (2022-01-20T00:05:01Z) - Measuring NISQ Gate-Based Qubit Stability Using a 1+1 Field Theory and
Cycle Benchmarking [50.8020641352841]
We study coherent errors on a quantum hardware platform using a transverse field Ising model Hamiltonian as a sample user application.
We identify inter-day and intra-day qubit calibration drift and the impacts of quantum circuit placement on groups of qubits in different physical locations on the processor.
This paper also discusses how these measurements can provide a better understanding of these types of errors and how they may improve efforts to validate the accuracy of quantum computations.
arXiv Detail & Related papers (2022-01-08T23:12:55Z) - Analytical and experimental study of center line miscalibrations in M\o
lmer-S\o rensen gates [51.93099889384597]
We study a systematic perturbative expansion in miscalibrated parameters of the Molmer-Sorensen entangling gate.
We compute the gate evolution operator which allows us to obtain relevant key properties.
We verify the predictions from our model by benchmarking them against measurements in a trapped-ion quantum processor.
arXiv Detail & Related papers (2021-12-10T10:56:16Z) - Error mitigation and quantum-assisted simulation in the error corrected
regime [77.34726150561087]
A standard approach to quantum computing is based on the idea of promoting a classically simulable and fault-tolerant set of operations.
We show how the addition of noisy magic resources allows one to boost classical quasiprobability simulations of a quantum circuit.
arXiv Detail & Related papers (2021-03-12T20:58:41Z) - Fusion-based quantum computation [43.642915252379815]
Fusion-based quantum computing (FBQC) is a model of universal quantum computation in which entangling measurements, called fusions, are performed on qubits of small constant-sized entangled resource states.
We introduce a stabilizer formalism for analyzing fault tolerance and computation in these schemes.
This framework naturally captures the error structure that arises in certain physical systems for quantum computing, such as photonics.
arXiv Detail & Related papers (2021-01-22T20:00:22Z) - Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs.
Coded Systems [69.33243249411113]
We show that Pauli errors incur the lowest sampling overhead among a large class of realistic quantum channels.
We conceive a scheme amalgamating QEM with quantum channel coding, and analyse its sampling overhead reduction compared to pure QEM.
arXiv Detail & Related papers (2020-12-15T15:51:27Z)
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.