We help companies complete their custom silicon designs with our comprehensive IP, EDA and Services offerings. We have very comprehensive silicon-proven IP offerings which we license. If you are designing an SOC, ASIC, RFIC or mixed signal design, we have compelling solutions for you. Please drop us an email and schedule a free consultation of your design requirements with an experienced QLS team member.
"Simplify your Life, Work with QLS"
Quantum Leap Solutions is a technical sales and advisory firm with offices in San Jose, Los Angeles, and Austin.
Since 2011 Quantum Leap Solutions has provided IP and design and manufacturing services for custom IC designs across North America. We offer semiconductor intellectual property (IP) and design services companies with best in class, silicon proven, low risk solutions in select markets.
NEW - QLS is now a Synopsys reseller! We offer the full Synopsys product portfolio including EDA, Software, Intellectual Property (IP) and Hardware Accelerators.
QLS partner, Synopsys' portfolio encompasses tools for design, verification, emulation, silicon testing, and more, catering to various stages of the chip development process.
Quantum Leap Solutions offers an extensive portfolio of silicon proven digital and analog IP across many process platforms. IP is available Off the Shelf or can be ported or customized to your application requirements. Unlike Design-Reuse who only give point IP offerings, we are trusted chip level advistors.
Quantum Leap Solutions partner EnSilica has design expertise in the following application areas: RF & Wireless, Sensing and Control, Power Management, Health Care and Medical, Satellite RFICs, Digital and DSP.
Quantum Leap Solutions has partnered with ACL Design to provide engineering design service and expertise in the semiconductor, 5G, Edge Cloud, as well as other tech spaces.
For companies pre-revenue to $2M revenues, QLS offers special startup bundles/offerings:
• Cloud tool bundles for Analog, Mixed Signal and Digital Designs
• QLS Reseller options
• Design services
• Prototype silicon options
QLS partners with companies that develop products that move and protect the world’s most valuable resource: data. Data enables businesses to better understand and serve their customers.
Faster access to data enables real-time action to insights. Protecting this data is mission critical in our interconnected world.
Our partners makes data centers and networks better by accelerating and safeguarding the movement and delivery of data by providing high-speed interfaces, security cores and chips that
optimize the capacity, connectivity and security of the cloud.
5G wireless technology is meant to deliver higher multi-Gbps peak data speeds, ultra low latency, more reliability, massive network capacity, increased availability, and a more uniform user
experience to more users. Higher performance and improved efficiency empower new user experiences and connects new industries.
With high speeds, superior reliability and negligible latency, 5G will expand the mobile ecosystem into new realms. 5G will impact every industry, making safer transportation,
remote healthcare, precision agriculture, digitized logistics — and more — a reality.
Tech analyst company IDC predicts that in total there will be 41.6 billion connected IoT devices by 2025, or "things."
It also suggests industrial and automotive equipment represent the largest opportunity of connected "things", but it also sees strong adoption of smart home and wearable devices in the near term.
From our partner Flex Logix: Modern Artifical Intelligence (AI) systems use a paradigm called machine learning. Machine learning (ML) is typically composed of both training and inferencing components.
Training is the highly computationally intensive process where the machine (computer) learns how to perform a task. ML Training and is usually performed in very large scale cloud computing systems
and can take a very long time to process (weeks or months) even when running on very high performance hardware.
The output of the training process, a trained ML model, can be leveraged across many systems in the form of inference processing.
Inference processing or inferencing is the term that is used to refer to the process of providing a response to a stimulus based on training from example data sets.
Example inferencing tasks include object or face detection in images or video, understanding human speech, or identifying cancerous cells in X-Ray images.
The mobility of the future is “eascy” – electrified, autonomous, shared, connected and “yearly” updated.
Electrified – the transition to emissions-free mobility will become a global requirement. Electricity used to charge vehicles will increasingly come from renewable sources to
ensure carbon dioxide-neutral mobility.
Autonomous - The development of vehicles which require no human intervention will reduce the use of public mobility platforms and offer individual mobility to new user groups.
Shared – Professionally managed fleets of shared vehicles will reduce the cost of mobilty by a significant amount through more efficient use of expensive mobile assets.
Connected – This applies in two ways: communication between cars or with traffic management infrastructure or between vehicle occupants and the outside world.
The car of the future will become a “third place” between home and workplace, combining features of both.
‘Yearly’ updated – The range of models will be updated annually to integrate the latest hardware and software developments, and react to changing requirements of shared fleet buyers.