The Schrodinger cat Post

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Efficient training of photonic quantum generative models The topic of generative learning has gained traction within the field of quantum machine learning, in particular with the advent of train-on-classical, deploy-on-quantum methods. This approach exploit...

A photon-native quantum generative model is trained on classical computers and then deployed on photonic quantum hardware, enabling generation of complex distributions that are hard to simulate classically.
@quantumshane.bsky.social, @alexiasalavrakos.bsky.social
arxiv.org/abs/2603.08793

Large Language Model-Assisted Superconducting Qubit Experiments Superconducting circuits have demonstrated significant potential in quantum information processing and quantum sensing. Implementing novel control and measurement sequences for superconducting qubits ...

A framework using a Large Language Model autonomously generates and executes control and measurement procedures for Superconducting Qubits, enabling automated experiments such as resonator characterization and Quantum Non-Demolition Measurement validation.
arxiv.org/abs/2603.08801

Cluster-Adaptive Sample-Based Quantum Diagonalization for Strongly Correlated Systems Strongly correlated electronic systems exhibit inherently multiconfigurational wave functions, making it difficult to construct compact variational subspaces that preserve the essential multireference...

Cluster-Adaptive Sample-Based Quantum Diagonalization (CSQD) improves hybrid quantum–classical simulations of strongly correlated molecules by clustering measurement samples. The approach yields more accurate ground-state energy estimates for strongly correlated systems.
arxiv.org/abs/2603.09346

Has quantum advantage been achieved? Quantum computational advantage was claimed for the first time in 2019 and several experiments since then have reinforced the claim. And yet, there is no consensus whether or not quantum advantage has...

An interesting discussion paper addresses the question of whether or not quantum advantage has actually been achieved. The discussion also identifies theoretical and experimental directions needed to strengthen and clarify future demonstrations of quantum advantage.
arxiv.org/abs/2603.09901

Parallel iQCC Enables 200 Qubit Scale Quantum Chemistry on Accelerated Computing Platforms Surpassing Classical Benchmarks in Ruthenium Catalysts We introduce a parallel, GPU-accelerated implementation of the iterative qubit coupled cluster (iQCC) method that overcomes the exponential growth of the transformed Hamiltonian -- the principal bottl...

A GPU-accelerated implementation of the Iterative Qubit Coupled Cluster (iQCC) method enables efficient classical simulation of quantum chemistry circuits with more than 100 qubits, achieving over two orders of magnitude speedup.
arxiv.org/abs/2603.08883

In the March 11th edition:
- Large Scale GPU Quantum Chemistry Computation
- Discussion on Quantum Advantage
- Quantum Simulation of Strongly Correlated Systems
- LLM-Assisted Superconducting Qubit Experiments
- Photonic Quantum Generative Models

More details and links below:

That’s it for the daily selection. If you enjoyed it, please consider giving me a like or reposting to support my content. Thanks! (Remember that these papers are published on arXiv before undergoing any peer review.)

Metriq: A Collaborative Platform for Benchmarking Quantum Computers The fragmented landscape of quantum computer benchmarks, characterized by system-specific tools and inconsistent evaluation methodologies, hinders reliable cross-platform performance assessment. We in...

Metriq is introduced as an open-source platform that standardizes quantum computer benchmarking by integrating benchmark design, execution, data collection, and public reporting into a unified workflow.
@cosenal.bsky.social ,
@vrusso.bsky.social, @nathanshammah.bsky.social
arxiv.org/abs/2603.08680

Efficient construction of time-invariant process tensors for simulating high-dimensional non-Markovian open quantum systems Numerical methods for obtaining exact dynamics of non-Markovian open quantum systems are mostly limited to either small systems or to short-time evolution only. Here, we propose a new algorithm for co...

An improved tensor-network algorithm is introduced to efficiently simulate large non-Markovian open quantum systems. This approach allows realistic modeling of complex platforms such as circuit-QED qubit readout.
arxiv.org/abs/2603.06840

Extrapolative Quantum Error Mitigation in Continuous-Variable Systems beyond the Training Horizon Continuous-variable (CV) quantum systems provide a versatile platform for quantum information processing, in which quantum states can be represented in the quadrature phase space. In realistic impleme...

A time-conditioned transformer model is proposed to perform extrapolative quantum error mitigation in continuous-variable quantum systems, learning how noise accumulates over time to recover accurate quantum states even beyond the training horizon.
arxiv.org/abs/2603.08548

Quantum Deep Learning: A Comprehensive Review Quantum deep learning (QDL) explores the use of both quantum and quantum-inspired resources to determine when deep learning's core capabilities, such as expressivity, generalization, and scalability, ...

A new review on quantum deep learning provide an operational definition and explores how quantum resources may enhance expressivity, scalability, and generalization under realistic hardware constraints.
@quantumyanjunji.bsky.social
arxiv.org/abs/2603.06644

Heterogeneous quantum error-correcting codes We introduce heterogeneous quantum error-correcting codes composed of qubit types with distinct error channels and study their performance in the code-capacity regime using maximum-likelihood tensor n...

Heterogeneous quantum error-correcting codes that strategically place qubits with different noise properties within the lattice can significantly boost error thresholds and reduce logical error rates by orders of magnitude.
arxiv.org/abs/2603.06817

In the March 10th edition:
- Heterogeneous #Quantum Error Correction
- Quantum Deep Learning
- Machine Learning for Quantum Error Mitigation
- Simulation of non-Markovian Dynamics
- Cross-platform Quantum Benchmarking

More details and links below:

That’s it for the daily selection. If you enjoyed it, please consider giving me a like or reposting to support my content. Thanks! (Remember that these papers are published on arXiv before undergoing any peer review.)

Variational Quantum Operator Simulation Implementing time-evolution operators in shallow quantum circuits is important for quantum simulations. The standard method of Trotterization requires a large number of gates to achieve practical accu...

Variational Quantum Operator Simulation (VQOS) enables the implementation of time evolution operators in circuits up to five times shallower than standard Trotterization, without needing explicit decomposition.
arxiv.org/abs/2603.06013

Rovibrational energy levels of H$_2$O by quantum computing We calculate rovibrational energy levels of H$_2$O using a trapped-ion quantum computer. We first derive the qubit form of Watson's Hamiltonian, including the rovibrational coupling terms. In a second...

Rovibrational energy levels of H₂O are computed on a trapped-ion quantum computer. This method achieves a few cm⁻¹ accuracy for low-lying energy levels, demonstrating the potential of quantum processors for precise molecular spectroscopy.
arxiv.org/abs/2603.05795

Preparing 100-qubit symmetry-protected topological order on a digital quantum computer Symmetry-protected topological (SPT) phases extend the Landau paradigm of quantum matter by admitting distinct symmetry-preserving phases that lack any local order parameter. Demonstrating these phase...

Programmable quantum processors can now realize symmetry-protected topological phases at scale up to 99% fidelity for 100-site spin chains. This paves the way for studying large-scale quantum matter and non-equilibrium dynamics.
@benjaderberg.bsky.social
arxiv.org/abs/2603.06325

In the March 9th edition:
- Preparation of 100-qubit topological phases
- Quantum Simulation of Rovibrational Levels of the Water Molecule
- Variational Quantum Operator

More details and links below:

That’s it for the daily selection. If you enjoyed it, please consider giving me a like or reposting to support my content. Thanks! (Remember that these papers are published on arXiv before undergoing any peer review.)

Fault-tolerant execution of error-corrected quantum algorithms Scaling up quantum algorithms to tackle high-impact problems in science and industry requires quantum error correction and fault tolerance. While progress has been made in experimentally realizing err...

Fault-tolerant executions of the Quantum Approximate Optimization Algorithm (QAOA) and the HHL algorithm are demonstrated on Quantinuum trapped-ion quantum processors using the [[7,1,3]] Steane code.
@particle-perlin.bsky.social, @ciaranra.bsky.social
arxiv.org/abs/2603.04584

Unified Probe of Quantum Chaos and Ergodicity from Hamiltonian Learning Developing measures of quantum ergodicity and chaos stands as a foundational task in the study of quantum many-body systems. In this work, we propose metrics for these effects based on Hamiltonian lea...

Metrics based on Hamiltonian learning are introduced to characterize quantum ergodicity and chaos by linking these phenomena to the robustness of learning a system’s Hamiltonian in the presence of small errors.
arxiv.org/abs/2603.04486

Linear-Time Encodable and Decodable Quantum Error-Correcting Codes Recent years have seen rapid development in the subject of quantum coding theory, with breakthroughs on many exciting classes of codes, including quantum LDPC codes, quantum locally testable codes, an...

Asymptotically good quantum error-correcting codes are introduced that can be encoded, decoded, and unencoded using quantum circuits with logarithmic depth and a linear number of gates, enabling highly efficient implementations.
@adamwills1.bsky.social
arxiv.org/abs/2603.04543

QGPU: Parallel logic in quantum LDPC codes Quantum error correction is critical to the design and manufacture of scalable quantum computing systems. Recently, there has been growing interest in quantum low-density parity-check codes as a resou...

Clustered-cyclic quantum LDPC codes are introduced as a new code family with directly addressable logical qubits. This approach enables efficient compilation of fault-tolerant operations.
@andyliuin.bsky.social, @jenseisert.bsky.social, @qec.codes
arxiv.org/abs/2603.05398

Macromux: scalable postselection for high-threshold fault-tolerant quantum computation We introduce a new resource-efficient scheme for fault-tolerant quantum computation known as `macroscale multiplexing' (or simply `Macromux'), that utilizes scalable postselection to significantly imp...

Macromux is introduced as a resource-efficient fault-tolerant strategy that postselects constant-size space-time windows, substantially increasing error thresholds against both Pauli and erasure errors while requiring only constant overhead.
@jcbridgeman1.bsky.social
arxiv.org/abs/2603.04875

In the March 6 edition:
- Fault-Tolerant Execution of Quantum Algorithms
- Scalable Postselection for Fault-Tolerant Quantum Computation
- QGPU
- Linear-Time Encodable and Decodable QEC
- Universal Probe of Quantum Chaos

More details and links below:

That’s it for the daily selection. If you enjoyed it, please consider giving me a like or reposting to support my content. Thanks! (Remember that these papers are published on arXiv before undergoing any peer review.)

Observation of Improved Accuracy over Classical Sparse Ground-State Solvers using a Quantum Computer We experimentally demonstrate that a hybrid quantum-classical algorithm can outperform purely classical, off-the-shelf selected configuration interaction methods. First, we construct a class of local ...

A hybrid quantum-classical approach based on sample-based Krylov quantum diagonalization successfully finds the ground state of a specially constructed 49-qubit sparse Hamiltonian instance that standard selected configuration interaction heuristics fail to solve.

arxiv.org/abs/2603.03496

Quantum Lego Power-up: Designing Transversal Gates with Tensor Networks Transversal gates are the simplest form of fault-tolerant gates and are relatively easy to implement in practice. Yet designing codes that support useful transversal operations -- especially non-Cliff...

Tensor-network constructions based on the quantum lego formalism enable the systematic design of error-correcting codes with addressable transversal single- and multi-qubit gates.
arxiv.org/abs/2603.03542

Overflow-Safe Polylog-Time Parallel Minimum-Weight Perfect Matching Decoder: Toward Experimental Demonstration Fault-tolerant quantum computation (FTQC) requires fast and accurate decoding of quantum errors, which is often formulated as a minimum-weight perfect matching (MWPM) problem. A determinant-based appr...

A polylogarithmic-time decoder for minimum-weight perfect matching in fault-tolerant quantum computation is developed. The approach makes hardware-friendly, parallel MWPM decoding feasible for early-stage fault-tolerant quantum processors.
arxiv.org/abs/2603.03776