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SciSparc subsidiary reports ~16.8-fold analysis speedup

CliniQuantum intends to advance toward larger biomedical datasets and more complex configurations, while progressing from simulation and validation toward quantum hardware.

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Form Type
6-K

Rhea-AI Filing Summary

SciSparc Ltd. said its majority-owned subsidiary NeuroThera Labs Inc. reported that its majority-owned subsidiary CliniQuantum Ltd. used a GPU-accelerated quantum-simulation platform to search 7,331,162,245 possible three-gene combinations in a clinical gene-expression dataset. Using a predefined minimum correlation threshold, the algorithm identified approximately 22.2 million correlated gene triplets.

On a machine with 64 cores, a single NVIDIA T4 GPU completed the analysis in approximately 0.5 hours, compared with approximately 8.4 hours using 64 vCPUs, producing the same qualifying triplet results. The reported computational acceleration was approximately 16.8-fold. The dataset comprised 11 patients and 3,531 gene-expression features. The benchmark evaluated computational performance only; it did not evaluate or establish the clinical validity, predictive value or potential utility of the gene combinations.

Filing Explained

SciSparc furnished its October 7 press release in this Form 6-K and incorporated the report by reference into its listed Form F-3 and Form S-8 registration statements from submission, unless later filings supersede it; the disclosure is therefore part of those registration statements.

Computational acceleration approximately 16.8-fold GPU-accelerated implementation compared with CPU implementation
GPU analysis time approximately 0.5 hours Using a single NVIDIA T4 GPU
CPU analysis time approximately 8.4 hours Using 64 vCPUs
Possible three-gene combinations 7,331,162,245 combinations Generated from the 3,531 genes in the dataset
Correlated gene triplets approximately 22.2 million triplets Identified using a predefined minimum correlation threshold
Patients 11 patients Clinical gene-expression dataset
Gene-expression features 3,531 features Clinical gene-expression dataset
GPU-accelerated technical
"GPU-accelerated quantum-simulation platform"
Using graphics processing units (GPUs) to run compute‑heavy tasks much faster than standard central processors by handling many small operations at once. For investors, GPU‑acceleration can shorten time to insight and lower costs for advanced workloads like artificial intelligence, large‑scale data analysis, or simulations, potentially boosting product performance, enabling new services, and improving competitive position—think switching from a bicycle to a high‑speed train for moving large data loads.
quantum simulation technical
"IBM Qiskit Aer GPU-based quantum simulation"
Quantum simulation is using powerful quantum computers or specialized software to mimic how tiny particles and complex materials behave, like running a very detailed virtual lab for the atomic world. Investors care because it can accelerate discovery of new drugs, materials, and chemical processes or improve risk models, potentially creating competitive advantages and new markets; think of it as a faster, more precise way to test ideas before costly real‑world trials.
gene-expression features technical
"3,531 gene-expression features"
correlated gene triplets technical
"identified approximately 22.2 million correlated gene triplets"
minimum correlation threshold technical
"Using a predefined minimum correlation threshold"

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

How much faster was CliniQuantum’s SPRC benchmark?

The GPU-accelerated analysis took approximately 0.5 hours, compared with approximately 8.4 hours using 64 vCPUs, and the reported computational acceleration was approximately 16.8-fold. Both implementations produced the same qualifying gene-triplet results.

How many gene combinations did CliniQuantum analyze for SPRC?

The algorithm searched 7,331,162,245 possible three-gene combinations and identified approximately 22.2 million correlated gene triplets using a predefined minimum correlation threshold.

What computing setup did CliniQuantum use in the SPRC benchmark?

The benchmark used an AWS g4dn.16xlarge EC2 machine, IBM Qiskit Aer GPU-based quantum simulation and a single NVIDIA T4 Tensor Core GPU. The GPU result was compared with the same 64-vCPU machine using a CPU-only implementation.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Learn about SEC filing dates

 

 

UNITED STATES

SECURITIES AND EXCHANGE COMMISSION

Washington, D.C. 20549

 

Form 6-K

 

Report of Foreign Private Issuer

Pursuant to Rule 13a-16 or 15d-16

under the Securities Exchange Act of 1934

 

For the month of October 2026

 

Commission File Number: 001-38041

 

SCISPARC LTD.

(Translation of registrant’s name into English)

 

20 Raul Wallenberg Street, Tower A,

Tel Aviv 6971916 Israel

(Address of principal executive offices)

 

Indicate by check mark whether the registrant files or will file annual reports under cover of Form 20-F or Form 40-F:

 

Form 20-F ☒     Form 40-F ☐

 

 

 

 

 

CONTENTS

 

On October 7, 2026, SciSparc Ltd. (the “Company”) issued a press release titled “SciSparc: Subsidiary NeuroThera Labs’ CliniQuantum Reports Successful Quantum-Enabled Analysis of Billions of Gene Combinations Using Real-World Clinical Data on an S&P 500 Company’s Quantum Architecture.” A copy of this press release is furnished herewith as Exhibit 99.1 to this Report of Foreign Private Issuer on Form 6-K (the “Report”) and is incorporated by reference herein.

 

This Report is incorporated by reference into the Company’s registration statements on Form F-3 (File Nos. 333-286099, 333-275305, 333-269839, 333-266047, 333-248670, 333-255408, 333-293167 and 333-293533) and on Form S-8 (File Nos. 333-278437, 333-225773, 333-286791 and 333-292952) filed with the Securities and Exchange Commission to be a part thereof from the date on which this Report is submitted, to the extent not superseded by documents or reports subsequently filed or furnished. 

 

1

 

 

EXHIBIT INDEX

 

Exhibit No.   Description
99.1   Press release issued by SciSparc Ltd. titled “SciSparc: Subsidiary NeuroThera Labs’ CliniQuantum Reports Successful Quantum-Enabled Analysis of Billions of Gene Combinations Using Real-World Clinical Data on an S&P 500 Company’s Quantum Architecture.”

 

2

 

 

SIGNATURES

 

Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto duly authorized.

 

  SCISPARC LTD.
     
  By: /s/ Oz Adler
  Name:  Oz Adler
  Title: Chief Executive Officer and Chief Financial Officer

 

Date: October 7, 2026

 

3

 

Exhibit 99.1

 

 

 

SciSparc: Subsidiary NeuroThera Labs’ CliniQuantum Reports Successful Quantum-Enabled Analysis of Billions of Gene Combinations Using Real-World Clinical Data on an S&P 500 Company’s Quantum Architecture

 

TEL AVIV, Israel, Oct. 07, 2026 (GLOBE NEWSWIRE) -- SciSparc Ltd. (Nasdaq: SPRC) (“Company” or “SciSparc”), today announced that NeuroThera Labs Inc. (TSXV: NTLX) (“NeuroThera”), a clinical-stage pharmaceutical company focused on developing novel treatments for central nervous system disorders, that CliniQuantum Ltd. (“CliniQuantum”), NeuroThera’s  majority owned subsidiary, reported that its Graphics Processing Unit- accelerated (“GPU”) quantum-simulation platform achieved an approximately 16.8-fold computational acceleration using a single machine with 64 cores (x86_64) and a single NVIDIA T4 Tensor Core GPU compared with the same 64-vCPU machine with only Central Processing Unit (“CPU”) implementation.

 

The evaluation used a real clinical gene-expression dataset comprising 11 patients and 3,531 gene-expression features, representing a challenging high-dimensional setting in which the number of biological variables greatly exceeds the number of patients.

 

The algorithm operated by CliniQuantum searched for correlated three-gene configurations across the dataset. The 3,531 genes generated 7,331,162,245 possible three-gene combinations. Using a predefined minimum correlation threshold, the algorithm identified approximately 22.2 million correlated gene triplets.

 

The analysis required approximately 8.4 hours using 64 vCPUs (virtual CPU), compared with approximately 0.5 hours when accelerated using a single NVIDIA T4 GPU, while producing the same qualifying gene-triplet results.

 

The benchmark was conducted on an AWS g4dn.16xlarge EC2 machine using an IBM Qiskit Aer GPU-based quantum simulation, with a NVIDIA T4 Tensor Core GPU. The benchmark was designed to evaluate computational performance and did not evaluate or establish the clinical validity, predictive value, or potential utility of any identified gene combinations.

 

CliniQuantum intends to continue advancing its algorithms toward the analysis of increasingly complex multi-feature configurations and larger biomedical datasets, while progressing its development pathway from simulation and validation toward execution on quantum computing hardware.

 

 

 

About SciSparc Ltd. (Nasdaq: SPRC):

 

The Company, through its majority-owned subsidiary NeuroThera, engages in clinical-stage pharmaceutical developments. SciSparc’s focus is on creating and enhancing a portfolio of technologies and assets based on cannabinoid pharmaceuticals. With this focus, the Company, together with its majority-owned subsidiary NeuroThera, is currently engaged in the following drug development programs based on THC and/or non-psychoactive CBD: SCI-110 for the treatment of Tourette syndrome, for the treatment of Alzheimer’s disease and agitation; and SCI- 210 for the treatment of autism spectrum disorder and status epilepticus. The Company, through NeuroThera, also owns a controlling interest in a subsidiary whose business focuses on the sale of hemp seed oil-based products on the Amazon.com Marketplace.

 

About NeuroThera Labs Inc.

 

NeuroThera is a clinical-stage pharmaceutical company focused on developing novel therapeutics for central nervous system disorders and other underserved health conditions through collaborations and innovative combinations.

 

Forward-Looking Statements:

 

This press release contains forward-looking statements within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995 and other Federal securities laws. For example, SciSparc uses forward-looking statements when it discusses the potential benefits and advantages of CliniQuantum’s algorithm, its advancement toward the analysis of increasingly complex multi-feature configurations and larger biomedical datasets and progressing its development pathway from simulation and validation toward execution on quantum computing hardware. Because such statements deal with future events and are based on SciSparc’s current expectations, they are subject to various risks and uncertainties and actual results, performance or achievements of SciSparc could differ materially from those described in or implied by the statements in this press release. The forward-looking statements contained or implied in this press release are subject to other risks and uncertainties, including those discussed under the heading “Risk Factors” in SciSparc’s Annual Report on Form 20-F, filed with the SEC on April 29, 2026, as amended, and in subsequent filings with the U.S. Securities and Exchange Commission. Except as otherwise required by law, SciSparc disclaims any intention or obligation to update or revise any forward-looking statements, which speak only as of the date they were made, whether as a result of new information, future events or circumstances or otherwise.

 

Investor Contact:

 

IR@scisparc.com
Tel: +972-3-6167055

 

 

Filing Exhibits & Attachments

1 document

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