Teleportation transition of surface codes on a superconducting quantum processor
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Introduction to the show: ident: Quantum Radio. Generated commentary on the latest quantum physics and condensed matter papers.
Kai: We're looking at the paper: "Teleportation transition of surface codes on a superconducting quantum processor".
Mira: Here's the gist of the paper. The gist The authors experimentally demonstrate a teleportation protocol for a logical qubit of the surface code with imperfect entanglement resource, charting out the many-body teleportation transition across an entangling threshold by tuning local entangling gates and coherent qubit rotations.
Kai: Quantum Error Correction Context The topological surface code is a leading candidate for harnessing long-range entanglement to protect logical quantum information against errors, and teleportation of logical states is desirable for robust quantum information processing.
Mira: It leverages topological order to robustly protect quantum information against errors, where errors are detected by measuring two types of stabilizers called syndromes, and are corrected by corresponding Pauli operations.
Kai: Scaling up the surface code is challenging but necessary to achieve higher tolerance against the errors.
Paper summary: Kai: So, to recap the main points from "Teleportation transition of surface codes on a superconducting quantum processor," the paper shows they've experimentally demonstrated a teleportation protocol for a logical qubit of the surface code using an imperfect entanglement resource.
Mira: The thesis is that you can chart out this many-body teleportation transition across an entangling threshold by tuning both local entangling gates and those coherent qubit rotations.
Lev: They claim they used a one hundred twenty-five-qubit superconducting quantum processor with tunable nearest neighbour couplings to execute this, setting up Alice and Bob in d times d square lattices <ref:2602.21293#pg2>.
Kai: The setup involves preparing a surface code on Alice prior to teleportation while Bob starts in the physical product state zero · · · zero⟩, then applying a parameterized coupling operation defined by parameters theta and t <ref:2602.21293#pg2,in the physical product state |0 · · · 0>.
Mira: The key finding is that by tuning these parameters, they found a teleportation phase diagram, and they showed that the entangling threshold can be boosted by those coherent qubit rotations.
Lev: They specifically highlighted how rotating the coherent error axis to an X plus Z direction helps inject magic resources beyond the Clifford regime, which restores the duality symmetry of the topological phase.
Kai: This symmetry restoration is what guides them to minimize the entanglement resource needed for this process, showing it's a crucial concept.
Mira: It really matters because it connects the teleportation transition directly to a phase transition in quantum matter physics.
Lev: And they also compared different decoding methods like tensor network maximum likelihood decoder and minimum-weight perfect matching decoder to see which ones gave the most accurate results for error mitigation.
Kai: The ML decoder showed logical error rates of zero point zero one four(one) for Alice and zero point zero two five(three) for Bob when teleportation is below the threshold, which gives us a baseline performance metric.
Mira: And they also compared that to the MWPM decoder results, which gave them thresholds like zero point one one six(two)pi at theta equals pi over two and zero point one six four(two)pi at theta equals pi over four <ref:2602.21293#pg2>.
Lev: The overall message of this paper is that they've characterized the resilience of encoded information against tailored noise by using their physical setup to probe the resilience of the surface code structure itself.
Kai: And it sets up a path for simulating and leveraging topological quantum matter on these actual quantum devices, which is pretty exciting for our hardware work.
Conclusion: Mira: So looking at this paper, "Teleportation transition of surface codes on a superconducting quantum processor," the authors are really focusing on how the experimental setup impacts the theoretical predictions for this system.
Kai: They’re taking that phase diagram they found and showing that it's not just an academic exercise but something you can actually build and measure on hardware.
Lev: In simple terms, what this means for us is that we have a concrete way to test if the surface code structure holds up when you introduce these specific types of noise.
Kai: It provides a foundational toolkit for probing how resilient encoded information is against noise by using tailored noise settings.
Mira: And they proved that electric-magnetic duality enhances the entangling threshold, suggesting that competition between electric and magnetic excitations can actually help protect against errors.
Lev: For real hardware, this suggests we should focus on fostering this competition between those excitations to get better protection against errors.
School of Physics, Zhejiang University, Hangzhou Global Scientific and Technological Innovation Center · The Hong Kong University of Science and Technology (Guangzhou) · Hefei National Laboratory
quant-ph, cond-mat.dis-nn, cond-mat.str-el
Submitted: 2026-02-24
Updated: 2026-02-24
Journal ref: Nat. Phys. (2026)
DOI: 10.1038/s41567-026-03484-0
License: http://creativecommons.org/licenses/by/4.0/
Importance score: 83/100
The gist: The gist The authors experimentally demonstrate a teleportation protocol for a logical qubit of the surface code with imperfect entanglement resource, charting out the many-body teleportation
Key concepts
- Topological Surface Code
- This is a method for quantum error correction that uses the geometry of a 2D lattice to encode information robustly. Errors are detected by measuring stabilizer operators (syndromes) on the qubits, allowing them to be corrected without needing to know the exact state of every qubit.
- Quantum Teleportation
- This is a process where the quantum state of one qubit is transferred to another distant qubit using entanglement. It requires an entangled resource and a joint measurement between the sender and receiver, enabling robust communication across quantum systems.
- Entangling Threshold
- This is the critical limit for the strength of local entangling gates that allows for faithful teleportation of logical states. Tuning this threshold reveals the phase transition where information transfer becomes stable or unstable, guiding how much noise a system can tolerate.
Terminology
Summary
The gist The authors experimentally demonstrate a teleportation protocol for a logical qubit of the surface code with imperfect entanglement resource, charting out the many-body teleportation transition across an entangling threshold by tuning local entangling gates and coherent qubit rotations.
Quantum Error Correction Context
The topological surface code is a leading candidate for harnessing long-range entanglement to protect logical quantum information against errors, and teleportation of logical states is desirable for robust quantum information processing. It leverages topological order to robustly protect quantum information against errors, where errors are detected by measuring two types of stabilizers called syndromes, and are corrected by corresponding Pauli operations. Scaling up the surface code is challenging but necessary to achieve higher tolerance against the errors. The scaling also poses a challenge for the many-body generalization of the quantum teleportation, which is an exotic quantum phenomenon that harnesses entanglement resource to enable quantum communication between two systems.
Experimental Setup and Protocol
The experiment utilizes a high-performance 125-qubit superconducting quantum processor featuring tunable nearest neighbour couplings. The setup consists of two groups of qubits, referred to as Alice and Bob, each arranged in a d × d square lattice. A surface code is prepared on Alice prior to teleportation, while Bob remains in the product state 0 · · · 0⟩. The protocol involves applying a parameterized coupling operation defined by parameters θ and t between the systems to induce entanglement. The process begins with the initialization of Alice in an encoded logical state, while Bob’s qubits are prepared in the physical product state 0 · · · 0⟩.
Teleportation Transition Analysis
The researchers obtained a teleportation phase diagram by tuning local entangling gates uniformly across a finite threshold. They showed that the entangling threshold can be boosted by coherent qubit rotations that inject magic resources beyond the Clifford regime, restoring the duality symmetry of the topological phase, which serves as a guiding principle to minimize the entanglement resource. The teleportation transition is charted by sweeping coherent error strength in their protocol to validate a stable and long-range phase. When injected coherent error magnitude t is small (shaded blue region), logical information can be faithfully recovered after imperfect teleportation, demonstrating that the topological order of the surface code is preserved.
Phase Diagram and Threshold Enhancement
The analysis shows that rotating the coherent error axis from the X direction to the X + Z direction significantly enhances the entangling threshold. This rotation injects magic resources beyond the Clifford class, which is optimal at angle θ = π/4. The effective entangling parameter teff is defined by sin2(teff) = sin2(t) + p (1 + cos(2t)) in the self-dual basis. This leads to an enhanced threshold, such as tc, exp (θ = π/4) = 0.175(5)π. The teleportation threshold is mathematically equivalent to the phase transition of the underlying quantum state of matter.
Decoding and Error Mitigation
The study compares different decoding methods, including tensor network (TN)-based maximum likelihood (ML) decoder, minimum-weight perfect matching (MWPM) decoder, and TN-based Bayesian decoder. The ML decoder yielded a logical error rate of 0.014(1) for Alice and 0.025(3) for Bob under teleportation below the threshold. The MWPM decoder extracted thresholds of 0.116(2)π at θ = π/2 and 0.164(2)π at θ = π/4, which appear slightly overestimated compared to the asymptotic theoretical thresholds.
Conclusion and Outlook
The work provides a comprehensive experimental characterization of logical state teleportation and establishes a foundational toolkit for probing the resilience of encoded information against tailored noise. The results demonstrate that electric-magnetic duality enhances the entangling threshold, suggesting that fostering competition between electric and magnetic excitations can enhance protection against errors. Future directions include incorporating fast mid-circuit measurement protocols and extending the protocol to a truly nonlocal setting between two superconducting processors.
Supplementary Information Details
The supplementary information details the effective incoherent noise strength p, which is modeled as a linear function p(d) = a(d + d0), where dmax is approximately 17 for the distance-7 code. The readout error mitigation procedure involves using a tensor-product noise model to accurately describe measurement errors. The analysis of Rényi relative entropy, D2(ρ0ρ1), maps the problem to a classical 2D Ising model, yielding a critical point at qc = 0.178. The circuit for preparing both Alice and Bob in a logical state involves SWAP gates to dynamically transfer qubits between the two lattices. The final set of generators for the distance-3 surface code is explicitly listed.
Device Performance Metrics
The device performance includes median fidelities for single-qubit and two-qubit gates of 99.94% and 99.64%, respectively. The median readout fidelity achieved is 99.08% by pumping each qubit from the state 1⟩ to the state 2⟩ prior to the readout pulse. The energy relaxation time T1 and spin-echo dephasing time TSE2 have median values of about 70.1 µs and 18.2 µs, respectively. The effective bit-flip error strength p is modeled as p = (1 − p0) pflip + (1 − pflip)p0 in the classical simulation. The finite size scaling analysis extracts a threshold of tc, exp (θ = π/2) = 0.122(2)π. The asymptotic thresholds for coherent and incoherent errors are pc = 0.109 and tc (θ = π/4) = 0.1548014(3)π. The final set of generators is equivalent to the stabilizer group defining the logical state 0L⟩ of the distance-3 surface code. The representative qubits and CNOT sequence are chosen to enable parallel gate implementation and minimize the total circuit depth. The number of two-qubit gate layers scales linearly as 3 ⌊(d + 3) /2⌋.
State Preparation Circuit Details
The circuit for preparing Alice in a logical state 0L⟩ begins with physical qubits initialized in the product state 0 · · · 0⟩. This is stabilized by single-qubit Pauli operators, and the encoding circuit evolves this initial state into a simultaneous eigenstate of all stabilizers with an eigenvalue of +1, including the X-type ones. The circuit for preparing both Alice and Bob in a logical state 0L⟩ involves SWAP gates to dynamically transfer qubits between the two lattices. This systematic process ultimately prepares Alice and Bob in the logical product state 0L⟩ ⊗ 0L⟩.
Decoding Methods Comparison
The MWPM decoder is well-known to find the shortest path to pair up the syndromes which can be efficiently found by algorithm like Blossom algorithm. The TN-based Bayesian decoder outputs a probabilistic correction that minimizes the “free energy” of the statistical model by taking into account the “entropy” as a key factor. The MWPM decoder yields thresholds of 0.116(2)π at θ = π/2 and 0.164(2)π at θ = π/4, which appear slightly overestimated compared to the asymptotic theoretical thresholds. The TN-based Bayesian decoder yields thresholds of 0.107(1)π at θ = π/2 and 0.152(2)π at θ = π/4, which agree very closely with the asymptotic theoretical thresholds.
Logical State Fidelity
The logical state fidelity FL, given by FL = 1/2 (1 + cos θL⟨ZL⟩ + sin θL⟨XL⟩), is shown in Fig. 4a. The experimental results are found to be captured by the functions ⟨XL⟩ = (1 − 2pZ) sin(θL) and ⟨ZL⟩ = (1 − 2pX) cos(θL), which fit two asymmetric logical error probabilities: pX = 0.019(1) and pZ = 0.053(1). The logical state fidelity FL is also shown in Fig. 4a.
Error Asymmetry
The error asymmetry is further confirmed using the H-type magic state, where the ideal expectation values of ⟨XL⟩ and ⟨ZL⟩ are equal. Instead, our experiment yields a lower ⟨XL⟩ = 0.62(1) compared to ⟨ZL⟩ = 0.68(1) <ref:
Improvements for AI systems
-
Increased fault tolerance in quantum computation by using surface codes for logical qubit protection against errors. This allows for more robust quantum information processing compared to less protected methods, as it
leverages topological order to robustly protect quantum information against errors.
-
Robust teleportation of logical states across a 125-qubit superconducting processor with code distances up to 7. The system can perform this task even with imperfect entanglement resource by tuning entangling gates continuously, charting out the
many-body teleportation transition across the entangling threshold.
-
Enhanced entangling threshold by utilizing coherent qubit rotations that inject magic resources beyond the Clifford regime. This technique restores
the duality symmetry of the topological phase,
which serves as a guiding principle to minimize entanglement resource during teleportation. -
Development of an adaptive noise suppression protocol for quantum circuits using mid-circuit measurements and qubit resets. This enables Alice and Bob to
perform adaptive circuits to suppress incoherent noise before and after the teleportation process, also allowing classical communication between Alice and Bob.
-
Improved logical state preparation fidelity by employing stabilizer measurement-based protocols instead of unitary encoding. This approach results in
slightly lower logical error rates for all states
compared to unitary methods, demonstratinga significant alleviation of error asymmetry.
-
Robust decoding of noisy quantum codes using both Tensor Network based maximum likelihood and Minimum Weight Perfect Matching decoders. These decoders allow the system to accurately infer the logical state from measured syndromes, yielding thresholds that
agree very closely with the asymptotic theoretical thresholds.
Abstract
The topological surface code is a leading candidate for harnessing long-range entanglement to protect logical quantum information against errors, and teleportation of logical states is desirable for robust quantum information processing. Nevertheless, scaling up the surface code in quantum teleportation poses a formidable challenge to experiment. Here on a superconducting quantum processor with 125 qubits, we demonstrate the robust teleportation of topological rotated surface code prepared by a linear-depth unitary circuit, with code distances up to 7. We obtain the teleportation phase diagram by tuning the local entangling gates uniformly across a finite threshold. Furthermore, we show that the entangling threshold can be boosted by coherent qubit rotations that inject magic resources beyond the Clifford regime, restoring the duality symmetry of the topological phase, which serves as a guiding principle to minimize the entanglement resource. Our results shed light on simulating and leveraging topological quantum matter on quantum devices, and pave the way to the ultimate goal of distributed fault tolerant quantum computation.
Sources
- Quantum codes on a lattice with boundary
- Decoherence-induced self-dual criticality in topological states of matter
- Demonstrating quantum error mitigation on logical qubits
- Revisiting Nishimori multicriticality through the lens of information measures
- Learning transitions of topological surface codes
- Stabilizer Codes and Quantum Error Correction
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