Get in Touch
rinf.tech

Quantum8

Phase 1 – Quantum Computing Study

See Prerequisites

Anchoring the POCs & prototypes in the new technologies has always been a direction @rinf.tech. Which was supported with Investment– learning & training, Deep tech research & experimentations with new technologies.

Nowadays we aim to contribute to global research and push ourselves to adjust our current projects and customer relationships in the Next Age Technologies with efforts in adoption and translation of traditional computing algorithms into quantum algorithms.

To establish useful QC application on near-term devices, the industry must:

Prioritize, develop and communicate industry reference problems and transform them to community benchmarks to steer quantum solutions towards commercial usability.
Focus on end-to-end applications including the integration in business processes to demonstrate business impact.
Communicate demonstrations of quantum impact.

The Power of Quantum Computing

The power of quantum computing rests on two cornerstones of quantum mechanics: interference and entanglement.

The principle of interference allows a quantum computer to cancel unwanted solutions and enhance correct solutions.

Entanglement means the combined state of the qubits contains more information than the qubits do independently.

Together, these two principles have no classical analogy and modeling them on a classical computer would require exponential resources. For example, representing the complexity of a 100-qubit quantum computer would require more classical bits than there are atoms on the planet Earth.

 

As technology matures, the demand for quantum computing will grow. Both industry and academia will develop critical skills at the intersection of physics, engineering, computer science, and business, addressing undergraduate, graduate, post-graduate students, and professionals. A particular focus must be interdisciplinary skills that bridge these fields and combining low-level quantum knowledge with industry domain expertise.

Because quantum computing is coming of age, and leaders who do not understand and adapt to the Quantum Decade could find themselves a step — or more accurately, years — behind. Over the next few years, we foresee a profound computing revolution that could significantly disrupt established business models and redefine entire industries.​
Constantin Iftime CEO @rinf.tech  
Anchoring the POCs and prototypes in the new technologies has always been a direction @rinf.tech. Which was supported with Investment– learning and training, Deep tech research, experimentations with new technologies.

Nowadays we aim to contribute to global research and push ourselves to adjust our current projects and customer relationships in the Next Age Technologies with efforts in adoption and translation of traditional computing algorithms into quantum algorithms
Victor Dornescu Head of Innovation @rinf.tech  
I'm enthusiastic about this phase of Quantum readiness we are crossing. It is imperative for organizations, large and small, to make sure that their processes and instruments are ready for this new horizon of technology innovation.​​
Ileana Vucicovici​ Quantum Enthusiast @rinf.tech​  
The power of quantum computing is enormous and opens a plethora of opportunities for engineering.

@rinf.tech we work at enabling emerging competencies for STEM passionate people willing to expand their horizons and build hybrid algorithms (quantum + classic) to serve better the end-users in our care.

We expect that in the near future most data and AI roles will benefit from quantum computing knowledge.
Mihnea Pirvulescu HR Business Partner Manager @rinf.tech
Since always, I've had a passion for gamming and real-world simulations. My curiosity about innovation and the impact of AI let me to explore virtual reality, virtual worlds, machine learning and GPU programming.

One of the limitations of the VR world and 3D graphical is the processing power, that the QPU will have exponential power and will be able to process the data needed for either Graphical 3D rendering or ML algorithms.

So I am determined to remain focused on understanding of quantum circuits and quantum machine learning algorithms. Looking forward to witness how the quantum brings a disruptive midset to solve problems differently.

Ileana Vucicovici Quantum Enthusiast @rinf.tech  

Further considerations

The building blocks of quantum computing are already emerging. Quantum computing systems are running on the cloud at an unprecedented scale, compilers and algorithms are rapidly advancing, communities of quantum-proficient talent are on the rise, and leading hardware and software providers are publishing technology roadmaps. The technology’s applicability is no longer a theory but a reality to be understood, strategized about, and planned for. And good news: the steps you should take to prepare for future quantum adoption will begin to benefit your business now.

It is precisely the advances in traditional classical computing, plus advances in AI, that are driving the most important revolution in computing since Moore’s Law almost 60 years ago. Quantum computing completes a trinity of technologies: the intersection of classical bits, qubits, and AI “neurons.” The synergies created by this triad—not quantum computing alone—are driving the future of computing.

Enroll Now and Learn Quantum Computing!

See Prerequisites

Want to contribute?

Let’s talk.