Floquet-Multiple Andreev Reflections

arXiv:2605.02642 · cond-mat.mes-hall · Submitted 2026-05-04 · Read on arXiv

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Introduction to the show: ident: Quantum Radio. Generated commentary on the latest quantum physics and condensed matter papers.

Kai: Today's paper: "Floquet-Multiple Andreev Reflections".

Mira: The gist: The quartet and higher-order multipair processes yield characteristic Floquet-multiple Andreev reflection (Floquet-MAR) finite-bias conductance and noise resonances that are parameterized by the bias voltage and electrochemical potential.

Kai: First, who's behind it and why it matters.

Title and authors: Kai: So we're looking at this paper, "Floquet-Multiple Andreev Reflections," and it deals with how these time-periodic systems behave when you apply a voltage. It’s about those specific resonances that show up in the conductance and noise.

Mira: Yeah, Kai, the title itself tells you a lot—it points directly to multiple Andreev reflections being affected by Floquet physics. It's not just standard superconducting transport; it’s adding a time-periodic drive into the picture.

Lev: From an error correction standpoint, if we were trying to run this on hardware, we’d need to make sure these resonances are sharp enough to be observable without getting washed out by noise or decoherence.

Kai: Exactly. The paper explores how these quartet and higher-order multipair processes create specific finite-bias conductance and noise features that depend on both the bias voltage and the electrochemical potential of the normal region.

Mira: That dependence on mu N is interesting because it gives us a new knob to tune what kind of Floquet process we are seeing, which wasn't there before.

Lev: Tuning that control parameter sounds useful, but what does it actually mean for the physics underneath? Does it just shift the energy levels or something simpler?

Kai: The paper suggests that these resonances aren't just simple energy shifts; they arise from coherent multichannel propagation through a ballistic continuum, which creates these Andreev-tube structures.

Mira: So, instead of discrete bound states giving us the features, we’re talking about something more continuous, like trajectories made up of electron and hole components moving in different directions.

Lev: That sounds complex to model on real circuits. How does this microscopic picture connect to the bigger transport measurements?

The paper's summary: Kai: Okay, so the core idea they are presenting here is that these Floquet-MAR resonances are essentially MAR-like energy shifts that get dressed by Floquet processes propagating through a 2D continuum <ref:2605.02642#pg1>.

Mira: They use Keldysh Green’s functions for this calculation and find that a finite-bias resonance in the current susceptibility happens when the electrochemical potential matches one of these intermediate state Floquet-MAR energy levels of the quartets.

Lev: So, if we look at their results, they found four Floquet-MAR resonances in the spectral current susceptibility at f. That number seems specific and important for characterizing the physics.

Kai: Right, and they map out these dimensionless current susceptibilities as a function of both (eV) and (mu N), showing how these features behave for Q-quartets, O-octets, and Q'-quartets.

Mira: And they found specific resonance conditions like mu N = zero or 2eV for the O-octets at zero voltage, which suggests some clear benchmarks for experimental testing.

Lev: Those are good starting points for checking the theory against what we might see in a lab setup, but what about the noise aspect? The paper mentions quantum noise cross-correlations.

Kai: They link the quantum noise cross-correlations to the dissipative current, and they calculate a Fano factor that is proportional to 2N, which is related to the number of particles involved <ref:2605.02642#pg1>.

The paper's improvements: Mira: The authors suggest extending this framework into higher-order multipair processes by looking at higher-order snake diagrams, which they call Ooctets and Q'-quartets.

Kai: So, they are using these higher-order structures to dress the quartet diagrams at a higher order in tunneling, which gives them a way to describe the DC current susceptibility of these larger structures.

Lev: That sounds like pushing the complexity up another level. For real hardware, that means we're dealing with even more intricate scattering pathways and diagrams to manage during error correction.

Mira: The improvement is really in providing a complete picture—not just the lowest order quartet, but including these higher-order effects that form the Ooctets and Q'-quartets.

Kai: And they provide specific expressions for the cos O-component of the O-octet supercurrent, which shows a complex dependence on both bias voltage and electrochemical potential.

Lev: That complexity is what we expect from higher-order physics, but it means the noise calculations have to be even more detailed to capture how these different processes interact.

Conclusion: Kai: So, to wrap up this paper on "Floquet-Multiple Andreev Reflections," they’ve developed a way using Keldysh diagrammatic expansions to get compact expressions for the current susceptibility and quantum noise.

Mira: The main implication is that we can monitor the electrochemical potential mu N experimentally by adjusting the voltage on an attached noninvasive tunneling tip, which opens up a new experimental avenue.

Lev: For us in error correction, knowing that we can tune this parameter suggests a path to engineer Floquet states in Josephson junctions based on 2D conductors <ref:2605.02642#pg1>.

Kai: That’s right, the idea is that by controlling V and mu N, we can actively engineer these Floquet states.

Mira: It moves us from just observing passive phenomena to actively controlling the environment's influence on superconducting transport through these junction systems.

Lev: I think being able to tune mu N is the most practical experimental feature here, because it gives you a measurable handle on the system without needing perfect control over the bias voltage alone.

Kai: So, we’ve seen how this work by Regis, Danneau, and Kayyalha connects microscopic Andreev tubes to macroscopic conductance measurements via Floquet physics.

Mira: It’s a solid theoretical framework for understanding how time periodicity interacts with strong correlations in these junctions.

Lev: We should look at those Ooctets and Q'-quartets next, because that’s where the real complexity of the transport lies.

Universite Grenoble-Alpes, CNRS, Grenoble INP, Institut NEEL · Institute for Quantum Materials and Technologies, Karlsruhe Institute of Technology · Department of Electrical Engineering, The Pennsylvania State University

cond-mat.mes-hall

Submitted: 2026-05-04

Updated: 2026-10-09

Comments: 7 pages, 4 figures (main) + 16 pages, 3 figures (supplemental) First revision of the manuscript

License: http://creativecommons.org/licenses/by/4.0/

Importance score: 69/100

The gist: The gist: The quartet and higher-order multipair processes yield characteristic Floquet-multiple Andreev reflection (Floquet-MAR) finite-bias conductance and noise resonances that are parameterized

Key concepts

Floquet Theory
This theory describes quantum systems subjected to time-periodic Hamiltonians, similar to how Bloch theory handles spatially periodic solids. In Josephson junctions, the time-periodic nature of the voltage creates an intrinsic 'Floquet drive' that dictates the system's behavior over time.
Multiple Andreev Reflection (MAR)
MAR occurs when a finite bias voltage causes multiple electrons and holes to tunnel across a superconducting junction simultaneously. This process is crucial for understanding finite-bias transport in superconducting devices, where it leads to resonant features in current and noise.
Floquet-MAR Resonances
These are specific resonant features observed in the differential current and quantum noise that arise when Floquet processes are 'dressed' by MAR-like energy shifts. They represent coherent transport through ballistic channels, distinct from discrete bound states.

Terminology

Summary

The gist: The quartet and higher-order multipair processes yield characteristic Floquet-multiple Andreev reflection (Floquet-MAR) finite-bias conductance and noise resonances that are parameterized by the bias voltage and electrochemical potential.

Theoretical Framework

The physics of time periodic phenomena can be described by the Floquet formalism [1]. In voltage-biased multiterminal Josephson junctions, the Josephson relation causes superconducting phase differences to evolve periodically in time, thereby providing an intrinsic Floquet drive. The authors develop a Floquet-based transport description for two-dimensional multiterminal Josephson junctions where the electrochemical potential µN of the normal region serves as an independent spectroscopic control parameter in addition to the bias voltage V and magnetic flux Φ. They use Keldysh Green’s functions to calculate the current susceptibility χI = ∂ I(eV,µN)/∂ µN and identify resonances interpreted as Floquet processes dressed by multiple Andreev reflections, which they call Floquet-MARs.

Floquet-MAR Resonances

The term Floquet-MAR resonances refers to the finite-bias resonant features in the differential current and quantum noise susceptibilities, arising from Floquet processes dressed by MAR-like energy shifts. These broadened spectral structures are generated by coherent multichannel propagation through the ballistic continuum, rather than discrete bound-state levels. The Floquet-MAR finite-bias resonances in the current susceptibility can be understood as arising from the underlying Andreev-tube structure of the multichannel ballistic configurations. These Andreev tubes correspond to families of quasione-dimensional semiclassical trajectories formed by counterpropagating electron and Andreev-reflected hole components.

Higher-Order Multipair Processes

The framework is extended to higher-order multipair processes that emerge from the higher-order snake diagrams. These Floquet-MARs are viewed as dressing the quartet diagrams at higher-order in tunneling. The resulting overall energy-conserving higher-order snake diagrams form the Ooctets and Q'-quartets. These structures yield the DC-current susceptibility of the corresponding Floquet-MARs.

Experimental Signatures and Noise

The study combines a microscopic picture based on Andreev-tube trajectories, a spectroscopic theory of Floquet-MAR resonances in nonlinear conductance, and a quantum noise diagnostic of correlated multipair transport. The dimensionless spectral current iQ(ω) is deduced from the Keldysh Green’s function calculations. The quantum noise cross-correlations are proportional to the dissipative current, and the Fano factor is calculated as FN ≡ ∂SL,R(eV,µN)/∂ µN / ∂ IL(eV,µN)/∂ µN = 2N in the main text.

Key Results for Different Multiplets

The paper presents maps of the dimensionless current susceptibility ∂ i′(eV,µN)/∂ µN as a function of (log(eV), logµN) for Q-quartets (a), O-octets (b), and Q'-quartets (c). The results show expected µN = 0, 2eV Floquet-MAR finite-bias resonances in the current susceptibility for the O-octets at µN = 0 and V = 0 and µN = eV, 3eV in Fig. 4c. The final expression for the cosΨO-component of the O-octet supercurrent demonstrates Eq. (4) in the main text and shows a complex dependence on bias voltage and electrochemical potential.

Conclusion

The authors developed the concept of Floquet-MARs via Keldysh diagrammatic expansions, obtaining compact expressions for the current susceptibility χI and quantum noise Sa,b within this theory. The value of µN can be experimentally monitored by adjusting the voltage on an attached noninvasive tunneling tip. This finding opens up the possibility to engineer Floquet states in Josephson junctions based on 2D conductors.

Supplemental Material Details

The Supplemental Material organizes technical details, including Hamiltonians for the BCS superconductors, the 2D conductor, and interfacial hopping amplitude in section I. The methods detail how current and noise are calculated using Keldysh Green’s functions in section II. The calculations for Q-quartets, O-octets, and Q'-quartets are presented in sections V, VI, and VII respectively. The Fano factor is calculated in section VIII. A toy-model for the emerging Floquet resonances is presented in section IX. The Hamiltonians include the BCS Hamiltonian (Eq. 1), the 2D conductor Hamiltonian (Eq. 2), and the interfacial hopping Hamiltonian (Eq. 3). The calculation of Andreev pair transmission across a ballistic 2D conductor involves nonlocal advanced electron and hole Nambu Green’s functions in section IV D. The derivation of the Fano factor is demonstrated by showing that BN/AN = 2N in section VIII A. The final expression for the Q'-quartet supercurrent demonstrates Eq. (67) which shows a complex dependence on bias voltage and electrochemical potential. The calculation of the energy-integral for IQ' leads to a sum of terms B1 through B8. The final expression for the cosΨQ-component of the Q'-quartet supercurrent demonstrates Eq. (67).

References

[1] G. Floquet, Sur les equations différentielles linéaires à coefficients périodiques, Ann. de l’ Ecole Norm. Sup. 12, 47–88

[2] T. Oka and S. Kitamura, Floquet Engineering of Quantum Materials, Annu. Rev. Condens. Matter Phys. 10, 387 (2019)

[3] M. Holthaus Floquet engineering with quasienergy bands of periodically driven optical lattices, J. Phys. B: At. Mol. Opt. Phys. 49, 013001 (2016)

[4] A. Gandon, C. Le Calonnec, R. Shillito, A Petrescu, and A Blais, Engineering Control and Longitudinal Readout of Floquet Qubits Phys. Rev. Appl. 17, 064006 (2022)

[5] L.B. Nguyen et al., Programmable Heisenberg interactions between Floquet qubits Nat. Phys. 20, 240 (2024)

[6] S. Park et al., Steady Floquet–Andreev states in graphene Josephson junctions Nature 603, 421 (2022)

[7] J.C. Cuevas and H. Pothier, Voltage-induced Shapiro steps in a superconducting multiterminal structure Phys. Rev. B 75, 174513 (2007)

[8] A Freyn et al., Production of non-local quartets and phase-sensitive entanglement in a superconducting beam splitter Phys. Rev. Lett. 106, 257005 (2011)

[9] R. Melin et al., Simple Floquet-Wannier-Stark-Andreev viewpoint and emergence of low-energy scales in a voltage-biased three-terminal Josephson junction Phys. Rev. B 95, 085415 (2017)

[10] R. Melin et al., Engineering the Floquet spectrum of superconducting multiterminal quantum dots Phys. Rev. B 100, 035450 (2019)

[18] S. Duhot et al., Cross correlation of incoherent multiple Andreev reflections Phys. Rev. Lett. 102, 086804 (27)

[26] A.S. Rashid et al., Nonequilibrium Andreev resonances in ballistic graphene Andreev interferometers Phys.

Improvements for AI systems

  1. textbf Floquet-MAR resonance spectroscopy via electrochemical potential control: The system can be tuned to probe nonequilibrium Floquet-Andreev spectra by independently controlling both bias voltage V and electrochemical potential µN, which is experimentally accessible via adjusting the voltage on an attached noninvasive tunneling tip.

  2. textbf Higher-order multipair process characterization: The AI system can resolve complex spectral features like Ooctets and Q'-quartets by calculating their corresponding dimensionless current susceptibilities, such as those derived from Eq. (4) and Eq. (5), which reveal more complex spectra in Fig. 2d, f.

  3. textbf Quantum noise diagnostics via Fano factor measurement: The system can quantify the granularity of Floquet-MAR resonances by measuring the Fano factor, which is calculated as FN ≡ ∂SL,R(eV,µN)/∂ µN / ∂ IL(eV,µN)/∂ µN = 2N in Eq. (6), providing a measure of quantum coherence.

  4. textbf Engineering Floquet states in ballistic conductors: The AI system can be used to engineer Floquet states in Josephson junctions based on 2D conductors by analyzing the derived expressions for the current susceptibility, which are "compatible with Fig. 4a calculated for eV > 0 and µN > 0."

  5. textbf Multi-scale transport analysis: The system can distinguish between different physical regimes by analyzing the results of averaging over scales, such as averaging over disorder or multichannels, which is necessary to capture the resonances, as demonstrated by comparing ballistic calculations with those involving averaging over the short-scale λF-oscillations.

Abstract

Floquet theory describes quantum systems governed by time-periodic Hamiltonians, much as Bloch theory describes spatially periodic solids. In voltage-biased multiterminal Josephson junctions, the Josephson relation causes superconducting phase differences to evolve periodically in time, thereby providing an intrinsic Floquet drive. In this Letter, we consider three-terminal Josephson junctions formed on a ballistic two-dimensional normal conductor with a continuum of electronic states. We show that the quartet and higher-order multipair processes yield characteristic Floquet-multiple Andreev reflection (Floquet-MAR) finite-bias conductance and noise resonances that are parameterized by the bias voltage and electrochemical potential. This microscopic picture opens a route toward implementing and probing Floquet-MAR physics in ballistic multiterminal Josephson junctions.

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