HessQ

HessQ at the APS Global Physics Summit 2025!
We are proud to share that a research work developed within HessQ has been officially published and presented at the APS Global Physics Summit 2025, one of the world’s most prestigious and influential conferences in physics and interdisciplinary science.
Our founding director is presenting this work at this high-impact international event, highlighting HessQ’s commitment to advancing cutting-edge, quantum-inspired research with real-world relevance.
You can view the published contribution here:
https://summit.aps.org/events/VIR-G01/6
This milestone reflects both the scientific rigor behind our work and HessQ’s growing presence within the global research community.
Congratulations to our founding director and the entire team. More to come!

HessQ Insights Bulletin (Case #9): Optimization for Hospitals & Health Systems
Hospitals are no longer isolated facilities.
They are interconnected ecosystems of data, energy, staff, and patient flow, and managing them with fragmented tools is no longer enough.
In our latest HessQ Insights Bulletin we introduce a quantum-inspired optimization framework designed to help hospitals and large clinics operate faster, greener, and more intelligently, without requiring quantum hardware.
What this bulletin covers:
• Up to 80% lower computational load through tensor-based state compression
• Reduced congestion across Emergency, OR, and ICU workflows
• Energy optimization for HVAC, imaging, and critical infrastructure
• Automated audit intelligence for billing, compliance, and ESG reporting
• Measurable ROI across energy, staffing, queues, and data layers

By modeling hospitals as coupled dynamic systems, HessQ transforms operational complexity into actionable, system-wide decisions — enabling better outcomes for patients, staff, and sustainability goals.
Read the full bulletin here:
https://zenodo.org/records/18101772
Modern healthcare depends on the intelligent alignment of data, energy, and human flow.
At HessQ, we turn that alignment into measurable value.

In HessQ Insights – Bulletin #8, we analyze the December 2025 operational crisis that impacted India’s largest airline, where large-scale flight cancellations were triggered by crew scheduling constraints under new regulatory rules.
This bulletin introduces a quantum-inspired, compressed optimization framework that treats airline operations as a Hamiltonian system, integrating: regulatory legality, crew fatigue, delay propagation, network stability.
By compressing the operational state space and applying a variational quantum-inspired solver, HessQ demonstrates how large airline networks can: reduce cascading cancellations, improve regulatory compliance, identify critical flights driving systemic risk, recompute schedules in real time.
The takeaway is simple:
Complex operational systems don’t fail from lack of data; they fail from inadequate mathematical structure.
Read Bulletin #8 here:
https://zenodo.org/records/18040222

HessQ Insights: Bulletin #7
This bulletin presents the Intelligent Tree, a system-level architecture for modeling financial interdependence across banking products. The framework adapts concepts from quantum coupling models to represent financial domains (credit, risk, liquidity, ESG, etc.) as interconnected nodes whose behavior evolves together through shared data roots.
The goal of the Intelligent Tree model is to replace siloed banking analytics with a unified, interpretable architecture that captures how financial “fruits” grow when they share the same roots. This approach enables banks to anticipate system-wide shifts, reduce uncertainty, and support strategic decision-making with transparent, interconnected intelligence.
Using quantum-inspired coupling models, this architecture allows banks to:
• Anticipate cross-domain risk propagation
• Improve cross-sell strategies through customer–product entanglement
• Balance liquidity, profitability, and ESG goals in real time
This bulletin shows how cooperative and regional banks can move from siloed analytics to system-level financial intelligence.
Read the full bulletin (DOI):
https://zenodo.org/records/17903515

We’re introducing a breakthrough in real-time medical video intelligence: the Compressed Structural Dynamics Engine (CSDE), a structural-mode engine for real-time medical video analysis.
This HessQ Insights bulletin introduces the Compressed Structural Dynamics Engine (CSDE), a structural-mode framework for real-time medical video analysis. CSDE encodes each video frame as a low-dimensional state,
ψ(t) = Σₖ αₖ(t) · φₖ,
capturing clinically meaningful modes rather than raw pixel values. Diagnostic indicators are derived using operator-based evaluation,
p_anom(t) = ⟨Ψ(t) | M_anom | Ψ(t)⟩,
providing interpretable scalar measures that remain robust under rapid motion. To represent both spatial and temporal structure, CSDE uses a separable space-time formulation,
Ψ_video(t) = Σᵢⱼ cᵢⱼ(t) · (sᵢ ⊗ τⱼ),
and employs compact low-rank tensor factorization to achieve adaptive structural compression,
A(i₁,…,i_d) ≈ G₁[i₁] · G₂[i₂] · … · G_d[i_d].
Engineering evaluations show approximately 200× compression, 3–6 dB SNR improvement, and sub-45 ms end-to-end latency on CPU-class hardware. CSDE defines a new category of structural computation that unifies compression, visualization, and decision support, offering a scalable foundation for next-generation surgical intelligence, ICU analytics, and telemedicine platforms.
Read the full technical note (DOI): https://zenodo.org/records/17726163

New HessQ Bulletin: Qubit Triggers for Customers in Supermarkets:
This bulletin from HessQ Inc. introduces a novel retail architecture utilizing quantum-inspired control to provide ultra-low-latency, personalized customer experiences in supermarkets. The core concept is the "qubit trigger," where real-time customer events (e.g., code scan, product addition) activate timed unitary operations on virtual preference qubits.
The system formalizes key business challenges using quantum mechanical formalism:
Smart Basket/Offers: Customer preferences are modeled as superposed qubit states to capture uncertainty, with customer-product synergy modeled by the Bell state and using coupling for cross-sell recommendations. Unitary rotations are triggered by a scan event to dynamically update product affinity.
Quick Checkout: Queue time prediction is modeled using a bosonic mode with creation/annihilation operators in a Lindblad master equation to calculate mean waiting time (W).
Operational Trade-Off: The decision to show an offer or open an extra checkout is governed by a formal Business Functional (Ꝭ) that analytically balances expected conversion margin against penalties for waiting time and stockouts.

This hybrid approach leverages current NISQ (Noisy Intermediate-Scale Quantum) devices (50-200 physical qubits) to deliver benefits today, with expected scale improvements in 2025-2026. The solution targets stringent SLAs, including recommendation latency < 50ms and queue time prediction error ≤ 10s.
Read more in our latest bulletin: https://doi.org/10.5281/zenodo.17478138

New HessQ Bulletin Released — Quantum-Inspired Banking for Clients
"Quantum-Inspired Banking for Clients," from the HessQ Bulletin (Case #3, October 2025), presents a hybrid quantum-classical architecture to enhance customer-centric financial services. It details the integration of quantum-inspired models (like QAOA and hybrid scoring) into mobile and web platforms to deliver immediate value in three core areas:
1. Real-time Fraud Detection: Utilizing qubit states (legitimate, suspicious) for rapid security alerts.
2. Expedited Credit Approval: Implementing hybrid scoring to reduce false negatives and approve microcredits in minutes.
3. Personalized Investment: Leveraging QAOA/Ising algorithms to recommend tailored portfolios based on the client's risk profile.

The paper argues that by centering the financial ecosystem on the client and utilizing quantum-inspired algorithms, HessQ provides greater security, speed, and personalization today, with projections for greater impact toward 2025–2026.
📖 Read the full bulletin here: https://doi.org/10.5281/zenodo.17403348
🌐 Learn more at www.hessq.tech