Questions

Who is Bayram Eker?

Bayram Yüksel Eker is the founder and technical lead of Neura Parse Ltd, a UK technology company, and an AI systems architect. His career has progressed from regulated public services and carrier platforms to enterprise AI architecture and research direction.

His final role at NETAŞ was Project Manager. He left the company in September 2026.

He directs the path from research question to product decision: setting technical direction, coordinating people and partners, and requiring evidence before a result advances into pilot or delivery planning. His quantum research asks whether new methods remain useful inside accountable decision systems.

Neura Parse is registered in England and Wales under company number 16547481. His research identifier is ORCID 0009-0003-0167-5763.

Does Bayram Eker still work at NETAŞ?

No. Bayram Yüksel Eker left NETAŞ in September 2026. His final role there was Project Manager.

He currently leads Neura Parse Ltd as founder, director and technical lead.

What does Bayram Eker work on?

He leads research and product work in quantum decision inference, governed AI and autonomous systems. The work spans experimental design, system architecture, partner development and the controls needed to make delivery accountable.

Across those settings, he keeps the evidence attached to the decision: calibration conditions beside the result, execution context beside the run, and a person responsible for consequential action.

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?

His earlier engineering work centred on production systems where correctness and continuity were operating obligations. It began with regulated public services and registry integrations, then widened to carrier platforms and the coordination needed to keep them reliable at scale.

His remit later expanded into enterprise AI and software-testing architecture. Across those stages, the work moved from delivering components to defining how systems are evaluated, governed and handed over. That progression underpins his current role directing research and product decisions at Neura Parse.

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 received a Certificate of Appreciation for valuable guidance and dedicated contributions as an industry mentor. He worked 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. The 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 520-page paperback 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. The retained publisher PDF is a 364-page layout snapshot of the same work. 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 by the Presidency of Defence Industries with the Türkiye Quantum Platform, 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.

Following a documented product review, QFlow moved into detailed planning for a potential education-focused pilot. A separate 30-person controlled education record is not presented as an active-user count, procurement or completed deployment.

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.

The company develops research-led systems in governed AI, quantum workflows and edge autonomy. Its work is organised around reproducible evidence, explicit human authority and a bounded progression from architecture through validation toward product delivery.

Public code and product-architecture records are available at github.com/neuraparse. The NeuraOS repository publishes documentation, not source code or binaries.

Is Neura Parse an IBM or NVIDIA partner?

Neura Parse participates in IBM’s Partner Plus programme. It participated in NVIDIA Inception from November 2025 through August 2026 while developing NowFlow and NeuraOS and running edge-device tests for local AI execution.

One is a current programme membership and the other is completed programme participation. Neither constitutes sponsorship or validation of any technical claim.

What is the Noderiq CELTIC-NEXT consortium?

Bayram Yüksel Eker leads and coordinates the planned three-company international structure for the NODERIQ proposal under CELTIC-NEXT, the EUREKA cluster for next-generation communications. The working baseline is 30 months, 240 person-months, €2.10 million in eligible cost and a TRL 4 to 6 path.

These are proposal baselines. Partner gates, work packages, national funding routes and co-finance evidence are still being developed; no executed consortium agreement, funding outcome, proof of concept or deployment is claimed.

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.

On 3 September 2026 its public records showed 8,919 Docker pull events, 77 Docker tags, 28 GitHub releases, 40 stars, 10 forks and 69 commits attributed to Bayram Eker. Pull events are not unique users, installations, servers or customers.

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 NeuraOS?

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.

NeuraOS is a proprietary edge platform that provides a signed path from a model package to a working device, built on Linux 6.18 LTS with PREEMPT_RT. Its public repository documents the product, governance and assurance architecture but distributes no source code or binaries.

What is Bayram Eker working on now?

He directs a portfolio of research, product and delivery work at Neura Parse. The immediate responsibility is to shape credible pilots, align partner roles, set the evidence required for each decision and keep the boundary between a tested result and a product commitment clear.

The work includes quantum workflows, governed AI and resilient autonomy. Consortium and R&D routes remain in preparation; they are not presented as funded programmes or deployments. The Current work page records each programme’s stage and next decision gate.