{"id":"00d3f36b-956e-4592-ab09-b57fd9593008","arxiv_id":"2608.11630","paper_version":1,"verdict":"CONDITIONAL","confidence":"MODERATE","novelty_score":6.0,"correctness_risk":"medium","formal_verification":"none","parameter_count":5,"one_line_summary":"A tin-vacancy quantum networking chip combines GHz-scale strain tuning, sub-80-ns electron spin control, nuclear spin detection, and fiber-array readout, with a simulated path to 99.96% spectral connectivity of 1,000 emitters.","lead":"A research team integrated tin-vacancy quantum emitters onto a photonic chip and combined strain-based frequency tuning, electron spin control, and fiber-based readout in one device. The work includes a digital twin that could scale spectrally connected emitter arrays to roughly a thousand qubits.","discovery_kind":"new_method","skeptic_critique":{"model":"deepseek-v4-flash","headline":"EM extraction of t⊥/t∥ is not robust: the E-step fixes σ=10 GHz, orders of magnitude above the measured linewidths, and no sensitivity analysis or strain-model calibration is reported; downstream tuning and connectivity claims inherit this.","rationale":"Good faith reading: the paper reports genuine experimental work—GHz-scale strain tuning on a fiber-coupled PIC, coherent spin control with a 76.97 ns π-pulse, and 13C nuclear signatures—and the conditional verdict is fair. The weakest link is not the plausibility of these demonstrations but the EM-based t⊥/t∥ extraction, which is the methodological novelty and the input to all forward predictions. The reader identified the COMSOL strain-field assumption; I agree with that and add a sharper, testable flaw: the E-step's σ=10 GHz is uncalibrated and orders of magnitude above the measured linewidths, so the EM likelihood contributes little information. This makes the Monte Carlo error bars misleadingly small and means the apparent cross-validation with [15] is the only external anchor. The manuscript itself flags related limitations in Supplement S3.1 (PnS strain neglected) and S6 (MPhDT assumed closer to ground truth than XGBoost); together these point to the same load-bearing spot. A σ sweep is cheap and would settle whether the reported t values are stable. I would not reject or accept the paper; I would keep it conditional pending this check and clarification of the t∥ contradiction (Introduction claims t∥ unreported, Section III cites a prior value from [15]).","tokens_in":27259,"tokens_out":9398,"duration_ms":104774,"concrete_test":"Re-run the published EM pipeline on the same 189 ΔZPL data points with σ swept over 30 MHz, 100 MHz, 300 MHz, 1 GHz, 3 GHz, and 10 GHz, keeping all priors and Monte Carlo settings unchanged, and record the winning cluster's t⊥ and t∥ with their MC spreads. If the extracted values shift by more than the quoted ±0.049/±0.056 PHz/strain error bars across the sweep, then the reported susceptibilities are not data-determined, and Section III's parameter extraction and its downstream scaling predictions should be presented as conditional rather than definitive.","verdict_should_be":"UNCHANGED","load_bearing_attack":"The paper's central quantitative deliverable is the EM extraction of t⊥=0.757±0.049 PHz/strain and t∥=−0.520±0.056 PHz/strain (Section III). The E-step of that EM algorithm (Methods Eq. 3) fixes the width σ at 10 GHz. The same paper reports SnV− ZPL linewidths of 54–173 MHz (Table S1) and a final tuning fit with 30 MHz RMSE, so the likelihood scale is two to three orders of magnitude broader than the measurement noise; no σ sensitivity analysis is given. With such a flat likelihood, the responsibility weights in Eq. 3 are nearly uniform over plausible (y,z,o) assignments, so the M-step updates of t⊥ and t∥ are dominated by the priors (TRIM z-distribution, Gaussian y prior) and by the selection among 36 initial-condition clusters via the ad hoc CF=R²·OI cost function. The quoted uncertainties are Monte Carlo spreads under fixed σ and fixed COMSOL strain maps; they exclude the dominant systematic uncertainty from the assumed-exact strain field (Supplement S3.1, which explicitly neglects PnS strain) and from σ itself. Because the XGBoost tuning predictions, the validation RMSE of 30 MHz, the 'first complete characterization' claim, and the 99.96% connectivity roadmap all inherit these t values, the robustness of this extraction is the load-bearing question for the paper's central claim.","agreement_with_reader":"partial"},"referee_report":{"model":"deepseek-v4-flash","summary":"The paper reports a full-stack quantum networking architecture integrating SnV- centers in diamond microchiplets onto a silicon-nitride PIC, with a multiphysics digital twin (MPhDT), an expectation-maximization (EM) algorithm to extract the global strain susceptibilities t_perp and t_par, experimental demonstrations of GHz-scale ZPL strain tuning, coherent electron spin control (pi-pulse time 76.97 +/- 0.11 ns), strongly/weakly coupled 13C nuclear spin detection, and commercial fiber-array readout. It also presents a scaling simulation that predicts up to 99.96% spectral connectivity for N ~ 1000 emitters in a next-generation MEMS-based design.","tokens_in":27554,"tokens_out":3374,"duration_ms":38776,"significance":"If the central results hold, this is a substantial advance: it would be the first simultaneous demonstration, in an integrated SnV- platform, of spectral tuning, spin-photon readout, nuclear spin detection, and fiber-array coupling. The MPhDT-EM framework is a genuinely novel approach to an ill-posed inverse problem, and the experimental spin-control data (Rabi, Ramsey, XY8) appear internally consistent and credible. The extracted t_par agrees with a prior literature value (-0.460 PHz/strain versus -0.520 +/- 0.056 PHz/strain), providing independent support for the methodology. The paper also ships detailed supplement materials on FEM/FDTD construction, pulse sequencing, and spin-echo analysis, which are valuable for reproducibility.","major_comments":[{"comment":"The EM extraction of t_perp and t_par is not robust as presented. The E-step fixes sigma = 10 GHz, while the measured ZPL linewidths in Table S1 are 54-173 MHz and the final tuning fit has 30 MHz RMSE. With sigma two to three orders of magnitude larger than the measurement noise, the likelihood in Eq. (3) is nearly flat over the plausible (o,y,z) assignments, so the responsibility weights are dominated by the priors (TRIM z-distribution and Gaussian y prior) and by the ad-hoc cost function CF = R^2 * OI in Supplement S4. No sensitivity analysis with respect to sigma is reported. Since the extracted t_perp and t_par feed the XGBoost predictions, the validation RMSE, and the connectivity roadmap, the quoted Monte Carlo uncertainties (which hold sigma and the COMSOL strain maps fixed) underestimate the dominant systematic errors. I request a sigma-sweep analysis, or a hierarchical treatment of the noise scale, and a quantitative statement of how t_perp and t_par change as sigma varies over the range set by the measured linewidths.","section":"Methods, Eq. (3); Section III; Table S1"},{"comment":"The entire EM extraction and all downstream predictions assume that the COMSOL-simulated strain field is a faithful ground truth. Supplement S3.1 explicitly neglects strain imparted during pick-and-stamp at 300 K, stating that thermal-expansion mismatch dominates. If this assumption fails, the inferred t_perp and t_par, the XGBoost tuning predictions, and the scaling simulation all shift. The Monte Carlo perturbations in Supplement S4 (20% multiplicative and 10% additive strain perturbations) are ad-hoc and do not cover model-form error, such as uncertainty in boundary conditions, COMSOL material parameters, or the validity of the linear-elastic approximation. I ask for a calibration check of the strain model, for example by using the known t_par value as a consistency test on an independent subset of data, or by reporting how the extracted t_perp and t_par change under structured strain-model perturbations.","section":"Supplement S3.1; Section III"},{"comment":"The XGBoost predictor is trained on a heavily filtered dataset (531 to 368 to 189 Delta-ZPL measurements across 30 emitters) and the reported feature importance is dominated by initial frequency (0.918). Given the small sample size and the strong prior, the 'remarkable agreement up to 100 V' and the 30 MHz RMSE need to be supported by explicit cross-validation details: number of folds, train/test split statistics, hyperparameters, and a comparison against a trivial baseline that predicts the mean or a linear trend in initial frequency. Without this, the claim that the ML predictor validates the extracted t_perp and t_par is not fully established.","section":"Section IV; Supplement S6"},{"comment":"The headline connectivity numbers (e.g., 99.96% at N=1000, Gamma_inh=30 GHz) are spectral-overlap connectivity only. The paper acknowledges in Section V that spectral connectivity is necessary but not sufficient for entanglement, listing linewidth matching, phase stability, spin-echo lifetime, dipole orientation, and collection efficiency as additional requirements. However, the abstract and parts of Section V state these numbers as 'connectivity' without the qualifier, which is misleading. I recommend renaming the metric 'spectral connectivity' throughout and adjusting the claim that MEMS configurations result in 'nearly fully resourced emitter chains' to reflect that the simulation omits the additional physical requirements for Bell-pair generation.","section":"Section V; Fig. 5b; Supplement S10"}],"minor_comments":[{"comment":"The Discussion contains unfinished placeholders: 'achieving up to ??% connectivity' and 'a record spin drive rate per unit power of xx GHz/W'. These must be filled in or removed before publication.","section":"Section VI (Discussion)"},{"comment":"Reference [29] (Tidy3D) contains 'Accessed: [Insert Date Here]' as a placeholder; this should be completed.","section":"References, [29]"},{"comment":"The cost function CF = R^2 * OI uses R^2 as a variable, but the surrounding text also uses R^2 to denote the coefficient of determination; please disambiguate the notation (e.g., use R^2_fit and OI).","section":"Supplement S4, Eq. (9)"},{"comment":"There are several typographical errors, including 'Th second set' (Methods), 'Comnparison' (Fig. S14 caption), 'tbe' (Supplement S10), and 'overlayed' (Fig. S12 caption). A careful proofread is needed.","section":"Throughout"}],"recommendation":"major_revision","confidential_remarks":"The experimental hardware demonstration is the strongest part of the paper, and the spin-control data appear credible. The load-bearing weakness is the EM parameter extraction and its dependence on an unvalidated COMSOL strain model; the reported uncertainties are likely underestimated. The paper would be acceptable after the authors provide a sensitivity analysis for sigma, a calibration or structured-perturbation test for the strain model, and a clearer qualification of the connectivity claims. The unfinished placeholders and typos also suggest the paper was not fully polished."},"author_rebuttal":null,"desk_editor":{"model":"deepseek-v4-flash","letter":"The paper reports a genuinely new hardware milestone: the first simultaneous demonstration, on a single SnV- photonic integrated circuit, of GHz-scale strain tuning, coherent electron and nuclear spin control, and readout through a commercial fiber array. The spin control data look internally consistent — Rabi, Ramsey, and XY8 all hang together, and the extracted t_par cross-checks reasonably against an earlier report. The pick-and-stamp integration and the digital-twin workflow are thoughtful engineering, and the paper is honest about several limitations in the text and supplement. That part deserves credit and a serious referee.\n\nThe soft spots are real, though. The EM extraction of t_perp and t_par is the load-bearing piece for the tuning predictions and the connectivity roadmap, and the stress-test note is on target: the E-step fixes sigma at 10 GHz, which is two to three orders of magnitude above the measured linewidths, and no sensitivity analysis is shown. With a likelihood that flat, the responsibility weights become nearly uniform and the M-step leans heavily on the TRIM prior and the ad hoc CF = R²·OI cost function. The Monte Carlo spread quoted as the uncertainty does not capture the dominant systematic from the assumed-exact COMSOL strain field — which, as Supplement S3.1 admits, neglects PnS strain. That is a load-bearing assumption, not a minor detail. The filtering from 531 to 189 delta-ZPL measurements is aggressive, and the paper does not show enough about what was discarded and why.\n\nThere are also textual problems that should not survive peer review. Section VI contains unresolved placeholders ('??%', 'xx GHz/W'), which makes the submission look unfinished. The introduction says t_par has not yet been reported, while Section III compares the extracted value to prior literature — a direct contradiction. The abstract's 'nearly indistinguishable' overstates what the projected HOM visibilities in Table S1 actually support; some of those visibilities are well below 0.9.\n\nNone of this undercuts the core experimental demonstration, which is solid. But the parameter extraction and the scaling claims that inherit from it need more validation before they can be taken as quantitative. A serious referee should ask for a sigma sensitivity analysis, a strain-model calibration or at least a discussion of how PnS strain would shift t_perp and t_par, a resolution of the t_par contradiction, and removal of the placeholders. The paper is important and technically interesting enough to warrant that revision — it should go to peer review, not be desk-rejected.","headline":"The hardware integration is real and worth refereeing, but the EM-based strain susceptibility extraction is not yet robust enough to carry the scaling claims.","tokens_in":28156,"tokens_out":1866,"would_cite":true,"duration_ms":22739,"reading_group":"maybe","serious_thinker":"yes","would_accept_peer_review":true},"rs_alignment":null,"lean_confirmation":null,"pith_extraction":{"msc":[],"pacs":[],"model":"deepseek-v4-flash","headline":"Integrated diamond tin-vacancy qubits can now be strain-tuned across GHz, spin-controlled in <80 ns, and read out through fiber—all on one photonic chip guided by a digital twin.","keywords":["tin-vacancy centers","quantum networking","photonic integrated circuits","strain tuning","spin qubit control","nuclear spin registers","multiphysics digital twin","expectation-maximization"],"falsifier":"Fabricate a microchiplet with masked implantation so each SnV$^-$ position is known to within tens of nanometers, measure its zero-phonon-line shift versus applied voltage through the fiber-array readout, and compare with the MPhDT prediction built from the reported $t_{\\perp}$ and $t_{\\parallel}$; a systematic deviation larger than the ~30 MHz root-mean-square predictive error at 100 V would contradict the extracted susceptibilities.","tokens_in":27025,"feed_emoji":"💎","tokens_out":14585,"duration_ms":147552,"temperature":0.7,"pith_summary":"This paper argues that the main obstacle to scaling solid-state quantum repeaters—each emitter's optical frequency is shifted in an unknown way by strain and position—can be addressed by building a per-sample digital twin of the device and using it to infer the missing material parameters. On an integrated tin-vacancy (SnV$^-$) platform in diamond coupled to a silicon-nitride photonic chip, the authors extract the transverse and axial zero-phonon-line strain susceptibilities from an ensemble of 27 emitters across seven microchiplets, and then demonstrate the first simultaneous combination of GHz-scale spectral tuning, coherent electron-spin control, coupling to $^{13}$C nuclear spins, and commercial fiber-array readout on one node. The digital twin further predicts that MEMS-actuated cantilevers could spectrally connect up to 99.96% of roughly 1000 emitters. If the strain model behind the twin is sound, the result is a concrete, parameter-transferable route from single-emitter experiments to high-volume quantum repeater nodes.","feed_headline":"A single diamond chip tunes, drives, and reads out qubits","feed_subtitle":"Tin-vacancy centers on a photonic wire add GHz-scale tuning and 77 ns spin gates to fiber-coupled readout.","key_machinery":"The load-bearing object is the multiphysics digital twin (MPhDT): a per-sample computational replica of the quantum repeater chip built from the measured pick-and-stamp position of each diamond microchiplet, the recorded positions of every emitter, and finite-element and finite-difference simulations of thermal and electromechanical strain, optical coupling, and microwave fields. Around it runs an expectation-maximization (EM) inference loop: the E-step assigns each emitter a probability over latent waveguide cross-section position and crystal orientation, and the M-step re-estimates the global strain susceptibilities $t_{\\perp}$ and $t_{\\parallel}$ by fitting the ensemble of measured zero-phonon-line shifts against the simulated strain maps. This converts an otherwise intractable inverse problem—unknown emitter positions and unknown material parameters at once—into a tractable alternating fit. The same digital twin then produces predictive tuning curves, validated to roughly 30 MHz root-mean-square error up to 100 V, and the connectivity projections for future MEMS designs.","core_discovery":"The central discovery is a working full-stack quantum repeater node built as a photonic integrated circuit with diamond tin-vacancy (SnV$^-$) emitters, together with a multiphysics digital twin that closes the loop between fabrication, characterization, and control. The paper reports the first simultaneous demonstration, on an integrated SnV$^-$ platform, of zero-phonon-line (ZPL) strain tuning at GHz scale; coherent electron-spin control with a $\\pi$-pulse time of $76.97 \\pm 0.11$ ns; strongly and weakly coupled $^{13}$C nuclear-spin detection; and commercial fiber-array readout. It also reports the first extraction of the SnV$^-$ transverse strain susceptibility in an integrated device, $t_{\\perp} = 0.757 \\pm 0.049$ PHz/strain, along with an axial value $t_{\\parallel} = -0.520 \\pm 0.056$ PHz/strain, obtained by coupling simulated strain maps with an expectation-maximization algorithm over ensembles of pre- and post-integration spectra. Using these parameters, the digital twin predicts that MEMS-actuated quantum microchiplets with $N=1000$ emitters and a 30 GHz inhomogeneous linewidth could reach $99.96\\%$ spectral connectivity, with the caveat that spectral connectivity alone is not sufficient for entanglement.","pith_inferences":["Editorial inference: the digital-twin-plus-EM recipe is not tied to SnV$^-$; any solid-state emitter with an unknown strain susceptibility and a simulatable device environment is a candidate, so the method should transfer to other group-IV vacancy centers or quantum dots.","Editorial inference: the 99.96% connectivity number is a spectral-overlap bound, not an entanglement-rate prediction; weighting links by Hong-Ou-Mandel visibility and spin-echo lifetimes would give a tighter estimate of how many emitters can actually contribute to a Bell pair.","Editorial inference: because the tuning curves are repeatable and electrode crosstalk is small, a closed-loop frequency lock using the fiber-array readout is a natural next engineering step, converting the ~30 MHz predictive accuracy into a servo-stabilized multi-emitter frequency grid.","Editorial inference: a deliberately wrong strain model (for example, omitting the pick-and-stamp contribution) could be used to re-run the EM extraction; if the recovered susceptibilities shift by more than the quoted errors, the result's dependence on the ground-truth strain assumption would be quantified."],"forward_implications":["The extracted susceptibility values become reusable material constants, so future diamond microchiplet geometries can be designed in simulation for a chosen tuning range rather than tuned empirically.","The roughly 30 MHz predictive accuracy of the digital twin at 100 V means emitters can be pre-selected from pre-integration spectra and assigned to target frequency channels before fabrication, improving the yield of indistinguishable photon sources.","With a $\\pi$-pulse time of $76.97 \\pm 0.11$ ns and a Ramsey dephasing time of $256 \\pm 2$ ns, dynamical decoupling is already feasible, and the observed $^{13}$C collapse-and-revival signatures indicate usable nuclear-spin memory near each electron spin.","The scaling simulation identifies MEMS cantilever microchiplets as the highest-priority hardware upgrade, raising the largest spectrally connected emitter chain by one to two orders of magnitude and reaching $99.96 \\pm 0.01$% connectivity for $N=1000$ emitters with a 30 GHz inhomogeneous linewidth.","The simultaneous combination of spectral tuning, spin control, nuclear detection, and fiber readout on one node means future entanglement experiments can work with a single integrated device instead of separate bulk-optics setups."],"supporting_citations":[{"why":"Reports the earlier individual-emitter strain susceptibility measurement and nanoelectromechanical tuning baseline that the EM result cross-validates.","marker":"[15]"},{"why":"Supplies the widefield PLE technique used to locate and track emitters before and after pick-and-stamp integration.","marker":"[17]"},{"why":"Demonstrates large-range in situ strain tuning of SnV$^-$ centers, the capability this work moves onto a PIC.","marker":"[19]"},{"why":"Provides the microwave spin-control protocol and qubit parameters used for coherent electron-spin control.","marker":"[20]"},{"why":"Supplies the spin-bath model and decoupling analysis used to identify weakly coupled $^{13}$C nuclear spins.","marker":"[22]"},{"why":"Demonstrates high-fidelity control of a $^{13}$C nuclear spin coupled to SnV$^-$, the target for the nuclear register here.","marker":"[23]"},{"why":"Shows strain-enabled microwave driving of SnV$^-$ in a diamond membrane, the combined tuning-plus-spin-control capability integrated here.","marker":"[24]"},{"why":"Establishes large-scale integration of quantum emitters in hybrid photonic circuits, the platform baseline this QR-PIC extends.","marker":"[13]"},{"why":"Introduces the CMOS-integrated spin-photon interface and the spectral-overlap connectivity metric used in the scaling simulation.","marker":"[14]"},{"why":"Reports SnV$^-$ ensembles with nearly identical frequencies and linewidths, setting the inhomogeneous-linewidth target in the scaling matrix.","marker":"[34]"}],"fun_headline_variants":["Diamond photonic chip tames tin-vacancy qubits for networking","Integrated diamond qubits: GHz tuning, fast spin gates, fiber readout","First integrated SnV node with GHz-scale tuning and sub-80 ns gates","Digital twin guides diamond photonic qubit tuning to 99.96% connectivity","Full-stack diamond quantum networking with integrated SnV emitters"],"cache_read_input_tokens":3200,"weakest_assumption_plain":"The load-bearing assumption is that the strain field simulated from cooling the assembled chip from 300 K to 4 K—with any strain left by the room-temperature pick-and-stamp step neglected—is close enough to the true local strain to serve as ground truth for both the EM parameter extraction and the connectivity predictions.","fun_headline_variants_meta":{"raw":{"variants":["Diamond photonic chip tames tin-vacancy qubits for networking","Integrated diamond qubits: GHz tuning, fast spin gates, fiber readout","First integrated SnV node with GHz-scale tuning and sub-80 ns gates","Digital twin guides diamond photonic qubit tuning to 99.96% connectivity","Full-stack diamond quantum networking with integrated SnV emitters"]},"model":"deepseek-v4-flash","effort":"low","cost_usd":0.001083,"raw_usage":{"total_tokens":4613,"prompt_tokens":1114,"completion_tokens":3499,"prompt_tokens_details":{"cached_tokens":384},"prompt_cache_hit_tokens":384,"prompt_cache_miss_tokens":730,"completion_tokens_details":{"reasoning_tokens":3400}},"tokens_in":730,"tokens_out":3499,"duration_ms":26147,"temperature":1.0,"reasoning_tokens":3400,"cache_read_input_tokens":384,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-08-16T00:34:31.851368+00:00","model_set":{"reader":"deepseek-v4-flash"},"falsifier":"Fabricate a microchiplet with masked implantation so each SnV$^-$ position is known to within tens of nanometers, measure its zero-phonon-line shift versus applied voltage through the fiber-array readout, and compare with the MPhDT prediction built from the reported $t_{\\perp}$ and $t_{\\parallel}$; a systematic deviation larger than the ~30 MHz root-mean-square predictive error at 100 V would contradict the extracted susceptibilities.","supporting_citations":[{"cited_title":"Nanoelectromechanical con- trol of spin–photon interfaces in a hybrid quan- tum system on chip","cited_arxiv_id":null,"evidence_quote":"Reports the earlier individual-emitter strain susceptibility measurement and nanoelectromechanical tuning baseline that the EM result cross-validates."},{"cited_title":"Large-scale optical charac- terization of solid-state quantum emitters","cited_arxiv_id":null,"evidence_quote":"Supplies the widefield PLE technique used to locate and track emitters before and after pick-and-stamp integration."},{"cited_title":"Large-range tuning and stabilization of the optical transition of diamond tin-vacancy centers by in situ strain control","cited_arxiv_id":null,"evidence_quote":"Demonstrates large-range in situ strain tuning of SnV$^-$ centers, the capability this work moves onto a PIC."},{"cited_title":"Microwave spin control of a tin-vacancy qubit in diamond","cited_arxiv_id":null,"evidence_quote":"Provides the microwave spin-control protocol and qubit parameters used for coherent electron-spin control."},{"cited_title":"Microwave control of the tin-vacancy spin qubit in diamond with a su- perconducting waveguide","cited_arxiv_id":null,"evidence_quote":"Supplies the spin-bath model and decoupling analysis used to identify weakly coupled $^{13}$C nuclear spins."},{"cited_title":"High-fidelity control of a C 13 nuclear spin coupled to a tin-vacancy center in diamond","cited_arxiv_id":null,"evidence_quote":"Demonstrates high-fidelity control of a $^{13}$C nuclear spin coupled to SnV$^-$, the target for the nuclear register here."},{"cited_title":"Microwave-based quantum control and coherence protection of tin-vacancy spin qubits in a strain-tuned diamond-membrane het- erostructure","cited_arxiv_id":null,"evidence_quote":"Shows strain-enabled microwave driving of SnV$^-$ in a diamond membrane, the combined tuning-plus-spin-control capability integrated here."},{"cited_title":"Large-scale integration of arti- ficial atoms in hybrid photonic circuits","cited_arxiv_id":null,"evidence_quote":"Establishes large-scale integration of quantum emitters in hybrid photonic circuits, the platform baseline this QR-PIC extends."},{"cited_title":"Heterogeneous integration of spin– photon interfaces with a CMOS platform","cited_arxiv_id":null,"evidence_quote":"Introduces the CMOS-integrated spin-photon interface and the spectral-overlap connectivity metric used in the scaling simulation."},{"cited_title":"Multiple tin-vacancy cen- ters in diamond with nearly identical photon fre- quency and linewidth","cited_arxiv_id":null,"evidence_quote":"Reports SnV$^-$ ensembles with nearly identical frequencies and linewidths, setting the inhomogeneous-linewidth target in the scaling matrix."}],"review_version":1}