Questions

Who is Bayram Eker?

Bayram Yüksel Eker is a software and AI systems architect, an independent quantum-AI researcher, and the founder of Neura Parse Ltd, a UK deep-technology company registered in England and Wales under company number 16547481.

He is first author of two 2026 quantum research preprints run on IBM Heron hardware, arXiv:2603.00785 and arXiv:2607.06760, author of the 364-page monograph Quantum-Bio Intelligence, a completed technical reviewer for IEEE GLOBECOM 2026, and a certified industry mentor in Türkiye’s national SAYZEK Academic Thesis Programme. He leads the consortium for the Noderiq proposal under the CELTIC-NEXT cluster.

His ORCID is 0009-0003-0167-5763.

What does Bayram Eker work on?

Three connected areas. Hardware-calibrated decision inference under uncertainty, which is the QANTIS research programme. Governed autonomous systems where recommendation and authority stay separate, which is the NODERIQ programme. Evidence infrastructure for research and product work, which is QFlow Studio.

The through-line across all three is keeping the evidence attached to the decision: calibration conditions next to the result, execution context next to the run, and an accountable person in the loop wherever the consequences are real.

Is Bayram Eker a quantum computing researcher?

Yes, with a specific and narrow focus. He works on whether a quantum belief-update primitive can be trusted inside a classical decision loop on hardware that exists today, rather than on quantum algorithms in the abstract.

The work is hardware-first. The foundational study ran 45 experiments across three IBM Heron backends. The sequential follow-on tested 8-step and 12-step decision trajectories with 20-step and 32-step controls. Both papers are public preprints on arXiv and neither claims quantum advantage over strong classical methods.

How do I contact Bayram Eker?

By email at bayram@neuraparse.com. He responds to research collaboration, technical review, speaking and product enquiries.

Public profiles: ORCID 0009-0003-0167-5763, GitHub at github.com/neuraparse, and the company site at neuraparse.com.

Is Bayram Eker available for collaboration or advisory work?

Yes, for research collaboration, technical review, speaking and product enquiries. Email bayram@neuraparse.com.

Areas where the work is most directly relevant: hybrid quantum and classical decision systems, evaluation design for autonomous systems, evidence and provenance infrastructure, and governed agentic architectures where human approval has to be structural rather than procedural.

What has Bayram Eker built before the quantum work?

More than a decade in production software, beginning with systems that carry legal consequence. He built and integrated services for e-Devlet, Türkiye’s national e-government platform, and worked on customs and legal-entity systems where regulated data flows and state-scale record handling are the requirement.

At Netaş he delivered IPTV platform work in joint projects with ZTE, covering carrier-grade video delivery, client integration and operational reliability at national scale, alongside backend and distributed-service engineering in Java and Spring Boot.

He later led agentic software-testing and enterprise AI product work at Netaş before founding Neura Parse in June 2025.

What is the SAYZEK programme and what was Bayram Eker’s role?

SAYZEK is the Academic Thesis Programme run jointly by Türkiye’s Presidency of Defence Industries and the Council of Higher Education. The 2024 to 2025 cycle took 421 applications from 119 universities and 58 departments, accepted 356 students, and assigned 90 industry mentors from 20 companies.

Bayram Eker served as a certified industry mentor, working with undergraduate and master’s students on AI-enabled imagery processing for UAV and armed-UAV platforms and on radar-data analysis for AI-based ground localisation and target classification. Each student’s progress went through three interim reports that mentors reviewed and scored. His certificate is dated 10 July 2025.

It is recognition of a mentoring contribution within a national programme. It is not a government award, a national prize or a competitive placement.

What is QANTIS?

QANTIS stands for Quantum Autonomous Navigation, Tracking and Intelligence System. It is an applied research programme on hardware-calibrated decision inference under partial observability, with two first-author preprints published in 2026.

arXiv:2603.00785, submitted 28 February 2026, runs to 31 pages with 4 figures and 12 tables. It integrates quantum belief update through Grover amplitude amplification and BIQAE, QUBO-based data association via FPC-QAOA, and composable error mitigation, validated across a 45-experiment campaign on three IBM Heron backends. In one reported Tiger belief-oracle case it amplified a rare observation probability from 0.179 to 0.907 while preserving the posterior at a Hellinger distance of 0.0015 from exact Bayes.

arXiv:2607.06760 asked the harder follow-on question: whether the calibrated belief-update service survives repeated use inside a classical decision loop. Hardware-derived and exact-Bayes posteriors selected the same immediate action at every reported decision point.

The public repository is at github.com/neuraparse/qantis under the MIT licence.

Are the QANTIS papers peer-reviewed?

No. Both are public preprints on arXiv. They have not been through peer review, and the site says so on every page that mentions them.

A preprint is a genuine research output with a permanent identifier and a public timestamp, and it is not a reviewed one. Both halves of that statement are accurate and both belong in any description of the work.

What is Quantum-Bio Intelligence?

A 364-page technical monograph published through QBI Press in 2026, ISBN 978-625-00-5878-7, registered with the National Library of Türkiye on 27 April 2026. It argues that the bottleneck in contemporary AI is architectural rather than computational.

It connects quantum computation, biological information processing, neuromorphic systems, agentic AI, human interfaces and governance into one vocabulary, and it separates what is demonstrated from what is plausible from what is speculation throughout.

It is self-published and it is a position architecture rather than peer-reviewed research. A companion paper, The Quantum-Biological Intelligence Stack, is on SSRN with DOI 10.2139/ssrn.6655058.

What does QANTIS stand for?

Quantum Autonomous Navigation, Tracking and Intelligence System.

The name describes the application domain rather than the method. The problem is autonomous navigation under uncertainty, which means solving partially observable Markov decision processes for planning and assigning sensor measurements to tracked targets, a task known as multi-target data association.

Which quantum methods does QANTIS actually use?

The foundational paper integrates three things. Quantum belief update through Grover amplitude amplification and BIQAE. QUBO-based multi-target data association solved with FPC-QAOA. Composable error mitigation applied across the pipeline.

All three are evaluated against classical references rather than in isolation, and the paper characterises practical operating boundaries for current superconducting hardware rather than claiming wall-clock advantage.

Where can I find the QANTIS code?

The public repository is github.com/neuraparse/qantis, released under the MIT licence.

What is public is the explanatory edition rather than the full experimental tooling. That distinction is stated on the site rather than left for a reader to discover.

What is the QANTIS Nexus team?

The team entered Türkiye’s national quantum algorithms competition, run under the Presidency of Defence Industries with the Türkiye Kuantum Platformu, applying the belief-update and data-association work from the QANTIS research programme.

This is team participation. No finalist placement, ranking or winner status is claimed unless a result is later issued.

What is NODERIQ?

NODERIQ is an applied research and productisation programme on verifiable distributed intelligence for resilient autonomous systems. Its central commitment is that a system may recommend while a person authorises, and that those two operations stay architecturally separate.

The operating loop is sense, qualify, share, coordinate, verify, escalate. Qualify is the step most architectures skip, because it represents uncertainty rather than resolving it prematurely.

Four evidence gates decide whether alternative compute methods advance: G0 define, G1 simulate against a strong classical reference, G2 preserve information and uncertainty through hardware execution, G3 qualify on decision value after accuracy, latency, reliability and cost.

NODERIQ is not a released product, a certified capability or a deployed system.

What is the difference between NODERIQ Defense and NODERIQ-CRN?

They are two operating surfaces on the same classical, edge-operable core.

NODERIQ Defense addresses multidomain autonomy for uncrewed platforms in contested environments: edge AI, secure mission orchestration, human-in-the-loop assurance and auditable decision evidence. It was submitted to NATO DIANA’s Multidomain Autonomy of Uncrewed Systems challenge on 25 June 2026.

NODERIQ-CRN covers civil resilient operations: infrastructure inspection, emergency logistics, field service and connected mobility. The engineering is largely shared because the underlying problem is shared. What differs is the operating boundary, which is contest in one case and safety and continuity in the other.

What is QFlow Studio?

A quantum workflow and evidence layer that holds the objective, circuit, generated source, provider route, execution context and reviewer-safe evidence in one controlled record.

Generated source stays synchronised across Qiskit, Cirq and OpenQASM, so the code on screen is the code that ran. AI may draft; consequential execution stays user-approved.

What is claimed is the operating and evidence model around existing quantum toolchains. It is not a new SDK, it does not cover every backend, and it makes no claim about quantum performance.

What is Neura Parse?

Neura Parse Ltd is a UK deep-technology company, registered in England and Wales under company number 16547481 and incorporated on 27 June 2025. Bayram Yüksel Eker is founder, active director and person with significant control.

It builds four systems: NODERIQ for verifiable distributed intelligence, QFlow Studio for quantum workflow and evidence, NowFlow for governed agentic workflows with 188 blocks and over 300 integrations, and NeuralOS as a signed model-to-device edge runtime on Linux 6.12 LTS with PREEMPT_RT.

Each has an open-source counterpart. The public repositories are at github.com/neuraparse.

Is Neura Parse an IBM or NVIDIA partner?

Neura Parse participates in IBM’s Partner Plus programme and is a member of NVIDIA Inception. The IBM relationship is relevant to the research, since the QANTIS hardware campaigns run on IBM Heron processors.

Both are programme memberships. Neither constitutes sponsorship, endorsement or validation of any technical claim, and the site describes them that way.

What is the Noderiq CELTIC-NEXT consortium?

Bayram Yüksel Eker leads the consortium for the Noderiq proposal under CELTIC-NEXT, the EUREKA cluster for next-generation communications. The role covers assembling partners, shaping the technical work packages and carrying coordination for the proposal.

This is consortium leadership and a submission. Funding decisions rest with the programme.

Where is Neura Parse based?

Neura Parse Ltd is registered in England and Wales, company number 16547481, incorporated 27 June 2025. The arXiv record for the QANTIS foundational study lists the author affiliation as Neura Parse Ltd., London, United Kingdom.

Work is conducted between the United Kingdom and Türkiye.

What is TaskNebula?

An open-source, self-hosted coordination platform for teams working alongside AI agents, released under the MIT licence at github.com/neuraparse/taskNebula. It is the most adopted of the public repositories.

Agent ownership, approval gates and Docker-first operations are defaults rather than configuration. The reasoning behind releasing it openly is set out in a March 2026 article.

What are NowFlow and NeuralOS?

NowFlow is a governed agentic workflow platform with 188 workflow blocks and over 300 integrations, where approval gates are first-class routing rather than an afterthought. It has an open-source counterpart, NowFlow Community, under Apache-2.0.

NeuralOS is an edge runtime that provides a signed path from a model package to a working device, built on Linux 6.12 LTS with PREEMPT_RT and 12 inference backends. It is the deployment path that NODERIQ’s edge-operable core requires.