Zhenhai Sun, David Feldstein-Bofill, Ksenia Shagalov, Amalie T. J. Paulsen, Casper Wied, Shikhar Singh, Brian D. Isakov, Jacob Hastrup
Superconducting transmon qubits based on hybrid superconductor-semiconductor Josephson junctions (gatemons) offer gate tunability, but their relaxation times remain well below those of state-of-the-art transmons, and the origin of this discrepancy is not fully understood. Here, we co-fabricate gatemons and SIS-junction transmons with nominally identical circuit layouts, gate dielectrics, and control lines, so that the Josephson element is the only intentional distinction. Across multiple chips, transmons in this architecture reach relaxation times in the tens of microseconds, whereas gatemons saturate in the few-microsecond range. Using the transmons as on-chip references, we construct a loss budget including Purcell decay, spontaneous emission through the control line, and internal dielectric loss, and find that the corresponding T1 limits exceed all measured gatemon values by more than an order of magnitude. Temperature-dependent T1 measurements follow a common quasiparticle-activation model and yield similar superconducting gaps for S-Sm-S and SIS junctions, indicating that the reduced gatemon coherence is dominated by additional temperature-independent, junction-intrinsic dissipation.
This paper addresses a longstanding open question in hybrid superconducting qubit research: why do gatemon qubits (based on superconductor-semiconductor-superconductor, S-Sm-S, Josephson junctions) consistently exhibit relaxation times (T₁) far below state-of-the-art SIS transmons? The key innovation is a controlled co-fabrication strategy where gatemons and conventional transmons are placed on the same chip with nominally identical circuit layouts, gate dielectrics, and control lines. The only intentional difference is the Josephson junction itself. Through systematic loss budgeting and temperature-dependent T₁ measurements, the authors demonstrate that the dominant limitation is junction-intrinsic dissipation — not Purcell decay, spontaneous emission, dielectric loss, or thermally activated quasiparticles.
This is an important diagnostic result rather than a performance breakthrough. It narrows the search space for coherence improvements in hybrid qubits by definitively pointing to the junction as the bottleneck.
The experimental design is well-conceived. The co-fabrication approach effectively controls for confounding variables — substrate losses, interface dielectrics, electromagnetic environment, and fabrication flow are shared between gatemon and transmon reference devices. This is a significant methodological improvement over prior studies where gatemons and transmons were fabricated on different substrates or with different material stacks, making it impossible to isolate junction-specific contributions.
The loss budget analysis is thorough, covering Purcell decay (Eq. 4), spontaneous emission through the optimized XYZ-style control line (Eq. 5), and internal dielectric loss (Eq. 6), with the co-fabricated transmons providing a direct extraction of Q_int ≈ 0.93 × 10⁶. The combined theoretical T₁ limit exceeds measured gatemon values by more than an order of magnitude, a convincing gap.
The temperature-dependent T₁ measurements are well-executed and follow the standard quasiparticle activation model (Eq. 8). The extracted superconducting gaps are comparable for S-Sm-S and SIS junctions (∆/h ≈ 48-55 GHz), which rules out a substantially reduced induced gap as the primary culprit. The key finding — that the difference resides in the temperature-independent rate Γ₀ — is clearly demonstrated.
However, there are limitations in rigor. The study includes only a modest number of devices (4 transmons, 8 gatemons across 4 chips), and statistical power is limited. The phenomenological quality factor Q_phenom ≈ 2.5 × 10⁵ is acknowledged as device-dependent, and no microscopic mechanism is identified. The authors appropriately note this is an effective parameter, but the lack of mechanism identification limits the actionable conclusions. The temperature-dependent measurements are shown for only two device pairs (main text and appendix), which constrains generalizability. Additionally, the paper exclusively uses full-shell InAs/Al nanowire junctions; it remains unclear whether the conclusions extend to other S-Sm-S platforms (e.g., 2DEG-based junctions, partial-shell nanowires).
For the hybrid qubit community, this paper provides critical guidance: improving gatemon coherence requires engineering the junction itself — cleaner superconductor-semiconductor interfaces, suppressed subgap conductance, and potentially larger-gap superconductors — rather than optimizing the surrounding circuit. This redirects research effort toward materials science and interface engineering.
For the broader superconducting qubit community, the co-fabrication benchmarking methodology is valuable and transferable. The approach of using on-chip reference transmons as loss budget calibrators could be adopted for evaluating other novel junction types (e.g., graphene junctions, topological junctions).
For topological qubit research, where S-Sm-S junctions are central to proposals for Majorana-based qubits, understanding and mitigating junction-intrinsic dissipation is essential. This work underscores that even with epitaxial interfaces, significant excess dissipation persists.
The practical impact is somewhat limited by the absence of a solution — the paper identifies the problem but does not demonstrate a path to fixing it, though it does suggest plausible mechanisms (subgap conductance, interface imperfections).
This is highly timely. Gatemon qubits are experiencing renewed interest due to their gate tunability (useful for quantum processor architectures) and connections to topological quantum computing. The persistent T₁ gap between gatemons and transmons has been a known but poorly understood problem. With transmons now reaching millisecond T₁ times, understanding why gatemons remain stuck at microseconds is increasingly urgent. The systematic, controlled approach fills a gap in the literature, where most previous gatemon studies focused on demonstration rather than loss analysis.
1. Elegant experimental design: Co-fabrication with identical layouts is the right experiment to isolate junction-specific loss.
2. Comprehensive loss budget: Quantitative accounting of all standard loss channels with transmon-calibrated benchmarks.
3. Temperature-dependent measurements: First systematic temperature-dependent T₁ study for gatemons, providing strong evidence against thermal quasiparticle mechanisms as the primary limitation.
4. Clear presentation: The narrative is well-structured, moving logically from co-design to benchmarking to loss budget to temperature dependence.
5. XYZ-style gate line optimization: The engineering of the gate line to reconcile DC tunability with suppressed spontaneous emission is a useful practical contribution.
1. No microscopic mechanism identified: The phenomenological Q_phenom captures the excess loss but doesn't explain it. The discussion of subgap conductance and interface quality is speculative.
2. Limited device statistics: Small sample sizes weaken statistical conclusions.
3. Single junction platform: Only full-shell InAs/Al nanowire junctions are studied; generalizability to other S-Sm-S platforms is uncertain.
4. Best gatemon T₁ still modest: The 9.1 μs best value does not push the state-of-the-art for gatemons significantly beyond prior reports (~30 μs).
5. No direct quasiparticle measurements: A Ramsey-based offset-charge experiment to measure x_ne directly is suggested but not performed.
This is a solid, well-designed experimental study that makes an important diagnostic contribution to the hybrid quantum device community. It convincingly demonstrates that junction-intrinsic dissipation is the dominant T₁ bottleneck in gatemons, providing clear direction for future materials and interface engineering efforts. While it does not resolve the underlying mechanism or demonstrate improved coherence, the controlled comparison methodology and the definitive localization of the problem to the junction represent meaningful progress.
Generated Apr 1, 2026
Paper 2 addresses a fundamental and long-standing question about why gatemon qubits underperform compared to standard transmons, providing rigorous experimental evidence through co-fabricated devices that isolate junction-intrinsic dissipation as the dominant loss mechanism. This finding has significant implications for the hybrid superconductor-semiconductor qubit community and quantum computing hardware development broadly. Paper 1 presents a useful but relatively incremental algorithmic improvement (reorganizing measurement shots) for quantum reservoir computing. While practical, it lacks the fundamental insight and broader hardware implications of Paper 2's contribution to understanding qubit coherence limits.
Paper 2 likely has higher impact: it proposes a simple, broadly applicable algorithmic change (split-ensemble training) that improves performance on both simulations and real hardware without extra quantum resources, making it timely for near-term NISQ use and transferable across quantum ML/reservoir computing and other shot-based workflows. Paper 1 is methodologically strong and valuable for diagnosing gatemon coherence limits, but its impact is narrower (specific qubit modality/material stack) and primarily identifies a dissipation problem rather than offering an immediate, general improvement.
Paper 2 addresses a critical security vulnerability in practical quantum key distribution by proposing a source-independent protocol that eliminates source-side attacks while doubling transmission distance. Its broad implications for global secure communication and practical quantum cryptography offer higher real-world applicability and broader impact compared to the highly specialized, hardware-focused qubit troubleshooting presented in Paper 1.
Paper 2 likely has higher scientific impact due to clear, immediate relevance to scalable quantum computing: it isolates a practical coherence bottleneck in gatemon qubits via controlled co-fabrication and on-chip transmon references, providing a strong, actionable diagnosis (junction-intrinsic dissipation) for device improvement. The methodology is rigorous and comparative, with direct real-world applications across superconducting/hybrid qubit engineering. Paper 1 is conceptually novel and deep for nonequilibrium many-body physics, but its applications are more indirect and its impact may be narrower and longer-term.
Paper 1 introduces a novel theoretical framework that breaks steady-state limits in quantum sensing, offering scalable, 3D magnetic field reconstruction. Its broad applicability in precision magnetometry and quantum metrology gives it a higher potential impact than Paper 2, which primarily diagnoses an empirical limitation (coherence loss) within a specific qubit architecture.
Paper 2 addresses a critical bottleneck in quantum hardware development — understanding why gatemon qubits have limited coherence times. By co-fabricating gatemons and transmons on the same chip and systematically ruling out extrinsic loss mechanisms, it identifies junction-intrinsic dissipation as the dominant limitation. This has immediate, broad implications for the superconducting quantum computing community pursuing semiconductor-based tunable qubits. Paper 1, while technically impressive in encoding Slater-type orbitals via MPS, addresses a more niche problem in quantum chemistry state preparation with less immediate practical impact on the field.
Paper 2 likely has higher impact: it settles optimal query complexities for unitary-channel certification in three access models, establishing a strict hierarchy with matching lower bounds. Such definitive, broadly applicable complexity results can influence quantum algorithms, verification/benchmarking, and theoretical computer science, and remain relevant across platforms. Paper 1 is methodologically strong and important for improving gatemon qubits, but its impact is more specialized to a particular hardware modality and primarily diagnostic rather than introducing a widely general new capability.
Paper 2 likely has higher impact: it delivers optimal query complexities (tight upper and lower bounds) across three access models, establishing a strict hierarchy—an elegant, broadly relevant theoretical result for quantum algorithms, property testing, and quantum complexity. Such definitive characterizations tend to be widely cited and reusable across tasks beyond unitary certification. Paper 1 is rigorous and valuable for superconducting qubit engineering, pinpointing junction-intrinsic loss in gatemons, but its impact is more specialized and incremental toward improving a particular hardware platform.
Paper 1 addresses a critical bottleneck in quantum computing—understanding why gatemon qubits underperform compared to standard transmons. By rigorously isolating junction-intrinsic dissipation as the dominant loss mechanism through co-fabricated reference devices and comprehensive loss budgets, it provides actionable insights for improving hybrid superconductor-semiconductor qubits, a leading platform for scalable quantum computing. The methodological rigor and direct technological relevance give it higher near-term impact. Paper 2, while theoretically elegant with exact solutions for quantum limit cycles, addresses a more niche theoretical question with less immediate experimental urgency.
While Paper 1 presents a valuable advance in secure quantum communication, Paper 2 addresses a critical bottleneck in quantum computing hardware. By identifying junction-intrinsic dissipation as the primary limiting factor for gatemon qubit coherence, Paper 2 provides essential insights needed to develop scalable, gate-tunable superconducting qubits, offering broader potential impact across the rapidly growing field of quantum information processing.