TensorFlow Quantum: A software platform for hybrid quantum-classical ML

We introduce TensorFlow Quantum, an open-source library for the rapid prototyping of novel hybrid quantum-classical ML algorithms. This library will extend the scope of current ML under TensorFlow and provides the necessary toolbox for bringing quantum computing and machine learning research communities together to control and model quantum data.

Speaker:
Masoud Mohseni - Research Scientist

#tensorflow #machinelearning #python

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TensorFlow Quantum: A software platform for hybrid quantum-classical ML
Jon  Gislason

Jon Gislason

1619247660

Google's TPU's being primed for the Quantum Jump

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.

Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.

The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.

#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus

TensorFlow Quantum: A software platform for hybrid quantum-classical ML

We introduce TensorFlow Quantum, an open-source library for the rapid prototyping of novel hybrid quantum-classical ML algorithms. This library will extend the scope of current ML under TensorFlow and provides the necessary toolbox for bringing quantum computing and machine learning research communities together to control and model quantum data.

Speaker:
Masoud Mohseni - Research Scientist

#tensorflow #machinelearning #python

Custom Software vs Off-the-shelf Software: How to select a better one for your business?

Custom Software or Off-the-shelf software, the question in mind for many business personnel. Read this blog to get help to make the right decision that will benefit your business.
For a business that wants to upgrade and modernize itself with the help of software, a common dilemma it is whether to go for custom-made software or opt for off-the-shelf software. You can find many top software development companies worldwide, but before that all, you should first decide the type of software –an off-the-shelf software or a custom one.
This blog aims to overcome the dilemma and accord some clarity to a business looking to automate its business processes.

#custom software vs off-the-shelf software #custom software development companies #top software development companies #off-the-shelf software development #customized software solution #custom software development

Uriah  Dietrich

Uriah Dietrich

1617812820

Google Announces TensorFlow Quantum 0.5.0: Expected Features & Updates

Google is celebrating the first anniversary of TensorFlow Quantum (TFQ), a library for rapid prototyping of hybrid quantum-classical ML models. TFQ is regarded as a tipping point for developments in hybrid quantum and classic machine learning models the company has been pushing for years.

#developers corner #google tensorflow quantum #tensorflow quantum #tensorflow quantum 0.5.0

aviana farren

aviana farren

1614754842

Increase your income through Hybrid Crypto Exchange Platform

However, the limitations of both exchanges contributed to the creation of an upgraded, more specialized network known as the Hybrid Crypto Exchange Platform. The positive features of Centralized and Decentralized markets come in combination with this form of exchange.
Hybrid crypto exchanges (HEX = Hybrid Exchange) address the issues of centralized and decentralized exchanges. They mainly focus on the usability and liquidity of CEX platforms and the anonymity and protection of DEX platforms.

Hybrid Crypto Exchange | Benefits

  • Provided real-time service access
  • Incorporates solutions based on blockchain technology
  • Users can trade on a centralized as well as the decentralized crypto platform.
  • Addresses challenges of centralized and decentralized crypto exchanges.
  • Even if third parties may regulate the exchanges of cryptocurrencies on a hybrid platform, users still have custody of their funds here.
  • Hybrid crypto exchanges secure customer privacy, but they are still compliant with different laws for digital currencies.
  • User assets are not held in hot wallets here. It suggests that funds are placed in cold storage altogether. That makes cyber-attacks on hybrid crypto exchanges challenging.
  • There are fast and transparent crypto transaction rates. That makes hybrid crypto exchanges for global crypto traders an enticing choice.

In hybrid crypto trading, the technology used is scalable. It helps in positioning it as a prospective digital currency exchange hub.
By introducing a hybrid platform using the finest cryptocurrency exchange creation services, one will receive more income.
Fraudulent practices and hacking become obsolete by incorporating top-notch security technologies. In the hybrid crypto exchange, users can conduct smooth and safe crypto trading.

#hybrid exchange development #hybrid crypto exchange platform #hybrid exchange solutions #hybrid exchange platform