A new heuristic compiler for multi-qubit iceberg patches reduces circuit depth by 34 percent, cuts gate counts, and improves fidelity metrics on 71 benchmarks compared with naive mapping.
hub Canonical reference
Gupta, Neereja Sundaresan, Thomas Alexander, Christopher J
Canonical reference. 91% of citing Pith papers cite this work as background.
69
Pith papers citing it
Background
91% of classified citations
hub tools
citation-role summary
background 22
method 1
citation-polarity summary
representative citing papers
In small-budget RCTs where significance tests decide scale-up, optimal pilot sampling shifts from representative to single homogeneous subpopulation as budget shrinks.
TianJi-Environ is a WRF-Chem-based multi-agent AI framework for autonomous validation of atmospheric chemistry mechanisms through executable experiments and evidence assessment.
DiffCodeGen clusters code candidates by behavioral similarity from fuzzing-synthesized inputs and selects the largest cluster's medoid, matching or exceeding prior test-time scaling methods with far less token and time cost.
Non-Markovian memory effects narrow the viable parameter space for electroweak baryogenesis, shift optimal wall velocities lower, produce non-monotonic baryon asymmetry dependence on memory timescale, and can enhance gravitational-wave signals.
VOW formulates LLM watermark detection as a secure two-party computation using a Verifiable Oblivious Pseudorandom Function to achieve private and cryptographically verifiable detection.
Influpaint uses generative diffusion models on image-encoded influenza data to produce realistic and diverse epidemic trajectories that match leading ensemble methods in accuracy.
Small 7B reasoning models were fine-tuned on synthetic and curated QFT problems using RL and SFT, yielding performance gains, error analysis, and public release of data and traces.
Neural network corrects residual errors in isotopologue energy extrapolations for CO2 (MAE reduction in >87% of levels vs Marvel) and transfers patterns to improve CO predictions in >93% of samples.
A multimodal VLM-TO-IRL framework with GAIL learns professional-specific reward functions from telemetry and tactical commentary to rank esports players by stylistic alignment.
Experimental realization of 2D CV cluster states with 191 modes and -1.2 dB nullifier squeezing in the microwave domain using multi-tone parametric amplification.
Continuous thermochemical sources produce bright AlF molecular beams that can be cooled to low rotational temperatures and velocities using buffer gas, potentially aiding molecular trapping.
Large-scale study of Copilot health queries finds substantial personal and caregiving intent, with time-of-day and device variations plus heavy focus on navigating existing healthcare systems.
Steep expulsive potentials in 1D and 2D Schrödinger equations support continuous spectra of normalizable bound states, including even/odd states in 1D and vortex states in 2D.
Introduces Wilson-loop-ideal bands saturating the quantum metric Wilson-loop bound and a general monotonic flow construction applied to moiré models to achieve low-error ideal states for correlated physics.
Sidewall poled TFLN waveguides achieve 4.2 mW UV output at 390 nm with record efficiency and low propagation loss.
GMP density-mode dispersion on the Haldane sphere accurately describes primary Jain states at long wavelength after deriving the sphere version of the LLL density-operator algebra.
A Feynman diagram framework is introduced to analytically compute finite-size and higher-ħ quantum corrections to phase shifts in matter wave interferometers for power-law and arbitrary potentials.
Local 2- and 3-cycles enhance RNN computational capacity for Boolean functions, predicted by structural statistics, while adding interneurons boosts large networks.
Proposes Shapiro steps in excitonic Josephson junctions as a probe of interlayer exciton superfluidity, predicting resolvable plateaus in graphene and TMD bilayers with nonmonotonic density dependence across the BCS-BEC crossover.
A PAI-tube injector delivers warm SF6 into a <3 K buffer gas cell with <200 mW heat load, enabling cold BaF production and planned use for RaF/RaOH.
Pulse-optimized implementations of single- and double-qubit excitations in VQE reduce runtimes by up to 15.3 times on silicon spin-qubit processors.
LLM agents run closed-loop design of photonic components and a full modulator by proposing, simulating, and refining against acceptance criteria.
Demonstration of 23.5 dB flat-top parametric gain spanning 100 THz and 313 mW on-chip power in PPLT integrated circuits for all-band amplification via cascaded second-order processes.
citing papers explorer
-
Logical Compilation for Multi-Qubit Iceberg Patches
A new heuristic compiler for multi-qubit iceberg patches reduces circuit depth by 34 percent, cuts gate counts, and improves fidelity metrics on 71 benchmarks compared with naive mapping.
-
When Representative Samples Produce Worse Outcomes: Scale-up Decisions and Testing in Small-Budget RCTs
In small-budget RCTs where significance tests decide scale-up, optimal pilot sampling shifts from representative to single homogeneous subpopulation as budget shrinks.
-
TianJi-Environ: An Autonomous AI Scientist for Atmospheric Environmental Research
TianJi-Environ is a WRF-Chem-based multi-agent AI framework for autonomous validation of atmospheric chemistry mechanisms through executable experiments and evidence assessment.
-
Code Generation by Differential Test Time Scaling
DiffCodeGen clusters code candidates by behavioral similarity from fuzzing-synthesized inputs and selects the largest cluster's medoid, matching or exceeding prior test-time scaling methods with far less token and time cost.
-
Non-Markovian Electroweak Baryogenesis: Memory Effects on CP-Violating Transport and Gravitational Waves
Non-Markovian memory effects narrow the viable parameter space for electroweak baryogenesis, shift optimal wall velocities lower, produce non-monotonic baryon asymmetry dependence on memory timescale, and can enhance gravitational-wave signals.
-
VOW: Verifiable and Oblivious Watermark Detection for Large Language Models
VOW formulates LLM watermark detection as a secure two-party computation using a Verifiable Oblivious Pseudorandom Function to achieve private and cryptographically verifiable detection.
-
Generative diffusion models for spatiotemporal influenza forecasting
Influpaint uses generative diffusion models on image-encoded influenza data to produce realistic and diverse epidemic trajectories that match leading ensemble methods in accuracy.
-
Fine-Tuning Small Reasoning Models for Quantum Field Theory
Small 7B reasoning models were fine-tuned on synthetic and curated QFT problems using RL and SFT, yielding performance gains, error analysis, and public release of data and traces.
-
Machine learning isotope shifts in molecular energy levels
Neural network corrects residual errors in isotopologue energy extrapolations for CO2 (MAE reduction in >87% of levels vs Marvel) and transfers patterns to improve CO predictions in >93% of samples.
-
Scouting By Reward: VLM-TO-IRL-Driven Player Selection For Esports
A multimodal VLM-TO-IRL framework with GAIL learns professional-specific reward functions from telemetry and tactical commentary to rank esports players by stylistic alignment.
-
Continuous-variable two-dimensional cluster states in the microwave domain
Experimental realization of 2D CV cluster states with 191 modes and -1.2 dB nullifier squeezing in the microwave domain using multi-tone parametric amplification.
-
Continuous thermochemical sources of AlF molecules
Continuous thermochemical sources produce bright AlF molecular beams that can be cooled to low rotational temperatures and velocities using buffer gas, potentially aiding molecular trapping.
-
How people use Copilot for Health
Large-scale study of Copilot health queries finds substantial personal and caregiving intent, with time-of-day and device variations plus heavy focus on navigating existing healthcare systems.
-
The continuous spectrum of bound states in expulsive potentials
Steep expulsive potentials in 1D and 2D Schrödinger equations support continuous spectra of normalizable bound states, including even/odd states in 1D and vortex states in 2D.
-
Wilson-Loop-Ideal Bands and General Idealization
Introduces Wilson-loop-ideal bands saturating the quantum metric Wilson-loop bound and a general monotonic flow construction applied to moiré models to achieve low-error ideal states for correlated physics.
-
Milliwatt-level UV generation using sidewall poled lithium niobate
Sidewall poled TFLN waveguides achieve 4.2 mW UV output at 390 nm with record efficiency and low propagation loss.
-
Static structure factor and the dispersion of the Girvin-MacDonald-Platzman density mode for fractional quantum Hall fluids on the Haldane sphere
GMP density-mode dispersion on the Haldane sphere accurately describes primary Jain states at long wavelength after deriving the sphere version of the LLL density-operator algebra.
-
Feynman Diagrams for Matter Wave Interferometry
A Feynman diagram framework is introduced to analytically compute finite-size and higher-ħ quantum corrections to phase shifts in matter wave interferometers for power-law and arbitrary potentials.
-
Identifying structural design principles shaping the computational abilities of recurrent neural networks
Local 2- and 3-cycles enhance RNN computational capacity for Boolean functions, predicted by structural statistics, while adding interneurons boosts large networks.
-
Harnessing Josephson-Shapiro physics to verify interlayer exciton superfluidity
Proposes Shapiro steps in excitonic Josephson junctions as a probe of interlayer exciton superfluidity, predicting resolvable plateaus in graphene and TMD bilayers with nonmonotonic density dependence across the BCS-BEC crossover.
-
Design and Performance of a Heated Gas Injector for Producing Cold Molecular Beams
A PAI-tube injector delivers warm SF6 into a <3 K buffer gas cell with <200 mW heat load, enabling cold BaF production and planned use for RaF/RaOH.
-
Pulse-optimised circuit elements for scalable and noise-resilient quantum chemistry
Pulse-optimized implementations of single- and double-qubit excitations in VQE reduce runtimes by up to 15.3 times on silicon spin-qubit processors.
-
Autonomous agentic design for photonics
LLM agents run closed-loop design of photonic components and a full modulator by proposing, simulating, and refining against acceptance criteria.
-
All-band photonic integrated optical parametric amplification
Demonstration of 23.5 dB flat-top parametric gain spanning 100 THz and 313 mW on-chip power in PPLT integrated circuits for all-band amplification via cascaded second-order processes.
-
Exceeding the Numerical and Performance Characteristics of IEEE-754 SGEMM with BFloat16 Tensor Cores on GPUs for Scientific Computing
BF16 tensor cores on GPUs emulate FP32 SGEMM with superior performance, power efficiency, and numerical accuracy compared to native FP32, including a library implementation that handles denormals.
-
SpinTune: Improving the Reliability of Quantum Sensor Networks for Practical Quantum-Classical Utility
SpinTune applies reinforcement learning to discover adaptive dynamical decoupling sequences that outperform standard methods at preserving coherence in simulated Carbon-13 spin bath environments.
-
Hidden Coalitions in Multi-Agent AI: A Spectral Diagnostic from Internal Representations
Spectral partitioning on pairwise mutual-information graphs from agent hidden states detects representational coalitions that behavioral measures miss in multi-agent AI.
-
Lottery BP: Unlocking Quantum Error Decoding at Scale
Lottery BP adds randomness to belief propagation decoding and uses syndrome voting to achieve far higher accuracy on topological quantum codes while reducing reliance on expensive global decoders.
-
Emergent Self-Attention from Astrocyte-Gated Associative Memory Dynamics
Astrocytic gains in a Hopfield network evolve under replicator dynamics to produce emergent self-attention as softmax routing on the gain simplex at fixed points.
-
Programming long-range interactions in analog quantum simulators
A hybrid optimization strategy using classical pre-compilation, iterative extrapolation, and noise-aware quantum refinement achieves orders-of-magnitude gains in fidelity for state preparation in analog simulators with programmable long-range interactions.
-
Integrated electro-optic attention nonlinearities for transformers
Thin-film lithium niobate modulators implement electro-optic Softmax and Sigmoid alternatives for transformers that maintain competitive accuracy under 4-bit quantization and characterized noise up to 10 GBaud.
-
A scalable infrastructure for strontium optical clocks with integrated photonics
Demonstrates magneto-optical traps for all stable strontium isotopes using co-designed atomic beam slowing, PIC-met surface laser delivery, and integrated frequency-comb stabilization, advancing bulk-optics-free Sr optical clocks.
-
Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization
An LLM acting as real-time controller for SIMP topology optimization parameters outperforms fixed schedules and heuristics, delivering 5.7-18.1% lower compliance on 2D and 3D benchmarks.
-
From Syntax to Semantics: Geometric Stability as the Missing Axis of Perturbation Biology
Geometric stability, defined as the directional coherence of cellular responses to perturbation, provides a framework for assessing whether resulting cellular states are stable beyond conventional metrics of intervention success.
-
Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising
ASTERIS, a self-supervised spatiotemporal denoising algorithm, improves astronomical detection limits by 1 magnitude at 90% completeness while identifying three times more redshift >9 galaxy candidates in JWST images.
-
Universal Quantum Gate Set from Multiple-Braiding Sequences in $SU(2)_k$ ($k>2$, $k\neq 4$) Anyon Models
Multiple-braiding sequences with multiplicities up to nine in SU(2)_k anyon models enable approximation of a universal gate set {H, T, CNOT} for k>2, k≠4, with numerical evidence from genetic algorithms.
-
Large Language Model Agent for User-friendly Chemical Process Simulations
An LLM agent integrated with AVEVA Process Simulation via MCP enables natural language driven flowsheet analysis, optimization, and construction for chemical separation processes.
-
DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format
DISCA achieves 3.59 TOPS/W per bit energy efficiency for matrix multiplication at 500 MHz in 180 nm CMOS using a compressed Bent-Pyramid stochastic format.
-
Dispersion of collective modes in spinful fractional quantum Hall states on the sphere
CF exciton trial states accurately capture collective mode dispersions in spinful FQH states on the sphere at all wavelengths, while density-wave states miss high-energy parton modes in singlet cases at fillings like 2/5.
-
Composite-Dimensional Topological Codes with Boundaries and Defects
Algorithms construct stabilizer models for boundaries and 0D defects in composite-dimensional twisted quantum double codes, with examples like Z4 double coupled to double semion phase and threshold comparisons to surface codes.
-
Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
VarQEC uses a distinguishability loss as a machine-learning objective to variationally discover resource-efficient encoding circuits optimized for given noise models.
-
XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration
XtraGPT is a suite of 1.5B-14B parameter open-source LLMs fine-tuned on 140,000 revision pairs from 7,000 top-tier papers to support controllable, context-aware academic paper editing.
-
Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need
In a private dataset of 353 patients, medical records and cardiac biomarkers outperform vascular biomarkers and GNNs on vascular graphs for PE risk stratification, suggesting vascular graphs hold no discriminative information.
-
Words as Difference Makers: How Large Language Models Determine Causal Structure in Text
LLMs learn causal relations in text via variational induction by detecting difference-makers in word sequences across diverse training data.
-
Observation of Non-Gaussian Magnon Dynamics in a Two-Dimensional Long-Range XY Model
Trapped-ion quantum simulator demonstrates non-Gaussian magnon dynamics in a 2D long-range XY model, verified independently of calibration errors.
-
Stimulus symmetries can confound representational similarity analyses
Stimulus symmetries render many neural representations functionally equivalent yet produce qualitatively different RSMs, including drifting ones from SGD or regularization in image-encoding networks.
-
Benchmarking open-source tools for in silico antiviral drug discovery
Boltz-2 and fine-tuned DrugFormDTA lead ML-based binding prediction while GNINA leads docking tools on a cleaned antiviral dataset, with performance varying by viral protein.
-
Space-Time Tradeoffs of Pauli-Based Computation in Distributed qLDPC Architectures
Large qLDPC blocks in distributed quantum computing enable Pauli-based computation to run up to 10x faster than surface codes for optimization algorithms by using spare nodes to bypass serialization bottlenecks.
-
Arqon: A suite of control applications enabling a reliable quantum network
Arqon delivers reliable quantum network service via admission control and scheduling that satisfies defined reliability requirements for accepted demands in static topologies, with O(k^3) and O(N^3) complexity.
-
Operational criteria for quantum advantage in latency-constrained nonlocal games
A framework with operational criteria and a trapped-atom hardware proposal for achieving statistically significant quantum advantage in latency-constrained nonlocal games.