Sequence-Dependent Spectral-Slope Diagnostics via XY-8/CPMG Coherence-Time Ratios

This work develops a microscopic account of sequence-dependent decoherencetime ratios in dynamical-decoupling (DD) spectroscopy. We show that a nontrivial ratio between coherence times measured under XY-8 and CPMG does not arise generically from standard Gaussian pure-dephasing theory: in the white-noise limit, Parseval’s theorem enforces R ≡ τXY/τCPMG = 1, so any deviation from unity must originate from spectral structure rather than total filter power alone. We then consider a minimal noncommuting-noise extension in which sequence-dependent channel redistribution shifts one transverse contribution sampled by XY-8 from ωeff to ωeff/2, while CPMG continues to sample the relevant channels at ωeff. In the narrow-band regime this yields the microscopic ratio law R = 2S(ωeff)/[S(ωeff) + S(ωeff/2)]. For power-law spectra S(ω) ωα, the ratio becomes R = 2/(1 + 2 α), giving R = 1 for white∝⁻ noise (α = 0), R = 4/3 for an Ohmic bath (α = 1), and R = 2/3 for 1/f noise (α = −1). The value R = 4/3 is therefore not universal but emerges as the special signature of an Ohmic spectrum. These results identify the XY-8/CPMG coherence-time ratio as a spectral-slope-sensitive observable and suggest a direct diagnostic strategy: measuring R in the narrow-band regime directly constrains the local bath exponent governing the sampled frequency window. This establishes a distinct theoretical direction from the effective benchmark treatment of Paper A and from the time-discontinuous channel-accessibility mechanism of Paper B, while remaining directly testable on NV-center platforms. V2: This version clarifies the phenomenological status of the XY-8/CPMG ratio law and reorganizes the manuscript so that the sequence-dependent spectral-slope interpretation is self-contained. Parts of the earlier Paper A framework have been re-examined and absorbed into the present paper in a revised form: rather than treating R=4/3R=4/3R=4/3 as a protocol-universal value, the ratio is now interpreted as a bath-dependent observable determined by the local spectral structure, with R=4/3R=4/3R=4/3 identified as the ideal Ohmic point. The revised version also makes the assumptions explicit (narrow-band regime, equal-weight transverse channels, and common exponential-decay form), strengthens the white-noise no-go benchmark, refines the inverse-problem discussion, and clarifies that the half-frequency XY-8 contribution is introduced as a minimal phenomenological assumption illustrated by a toy toggling-frame model rather than a complete microscopic derivation.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-27
DOI
https://doi.org/10.5281/zenodo.20402614
Primary Topic
Spectroscopy and Quantum Chemical Studies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Sequence-Dependent Spectral-Slope Diagnostics via XY-8/CPMG Coherence-Time Ratios

Shioiri Hiroyuki
Zenodo (CERN European Organization for Nuclear Research)
Spectroscopy and Quantum Chemical Studies
preprint

Sequence-Dependent Spectral-Slope Diagnostics via XY-8/CPMG Coherence-Time Ratios

Shioiri Hiroyuki
preprint en

Abstract

This work develops a microscopic account of sequence-dependent decoherencetime ratios in dynamical-decoupling (DD) spectroscopy. We show that a nontrivial ratio between coherence times measured under XY-8 and CPMG does not arise generically from standard Gaussian pure-dephasing theory: in the white-noise limit, Parseval’s theorem enforces R ≡ τXY/τCPMG = 1, so any deviation from unity must originate from spectral structure rather than total filter power alone. We then consider a minimal noncommuting-noise extension in which sequence-dependent channel redistribution shifts one transverse contribution sampled by XY-8 from ωeff to ωeff/2, while CPMG continues to sample the relevant channels at ωeff. In the narrow-band regime this yields the microscopic ratio law R = 2S(ωeff)/[S(ωeff) + S(ωeff/2)]. For power-law spectra S(ω) ωα, the ratio becomes R = 2/(1 + 2 α), giving R = 1 for white∝⁻ noise (α = 0), R = 4/3 for an Ohmic bath (α = 1), and R = 2/3 for 1/f noise (α = −1). The value R = 4/3 is therefore not universal but emerges as the special signature of an Ohmic spectrum. These results identify the XY-8/CPMG coherence-time ratio as a spectral-slope-sensitive observable and suggest a direct diagnostic strategy: measuring R in the narrow-band regime directly constrains the local bath exponent governing the sampled frequency window. This establishes a distinct theoretical direction from the effective benchmark treatment of Paper A and from the time-discontinuous channel-accessibility mechanism of Paper B, while remaining directly testable on NV-center platforms. V2: This version clarifies the phenomenological status of the XY-8/CPMG ratio law and reorganizes the manuscript so that the sequence-dependent spectral-slope interpretation is self-contained. Parts of the earlier Paper A framework have been re-examined and absorbed into the present paper in a revised form: rather than treating R=4/3R=4/3R=4/3 as a protocol-universal value, the ratio is now interpreted as a bath-dependent observable determined by the local spectral structure, with R=4/3R=4/3R=4/3 identified as the ideal Ohmic point. The revised version also makes the assumptions explicit (narrow-band regime, equal-weight transverse channels, and common exponential-decay form), strengthens the white-noise no-go benchmark, refines the inverse-problem discussion, and clarifies that the half-frequency XY-8 contribution is introduced as a minimal phenomenological assumption illustrated by a toy toggling-frame model rather than a complete microscopic derivation.

Zenodo (CERN European Organization for Nuclear Research)
University of Jaffna (LK)
Peace, Justice and strong institutions
Spectroscopy and Quantum Chemical Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.